Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
Generated from Trainer
nlu
Eval Results (legacy)
text-embeddings-inference
Instructions to use cartesinus/multilingual_minilm-amazon_massive-intent_eu7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cartesinus/multilingual_minilm-amazon_massive-intent_eu7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cartesinus/multilingual_minilm-amazon_massive-intent_eu7")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cartesinus/multilingual_minilm-amazon_massive-intent_eu7") model = AutoModelForSequenceClassification.from_pretrained("cartesinus/multilingual_minilm-amazon_massive-intent_eu7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
5968503
1
Parent(s): 32858c1
Librarian Bot: Add base_model information to model (#2)
Browse files- Librarian Bot: Add base_model information to model (67fb6d2a3997870c8ba0bff59924e1a74eed8ce8)
Co-authored-by: Librarian Bot (Bot) <[email protected]>
README.md
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license: mit
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tags:
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- generated_from_trainer
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- nlu
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- text-classification
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metrics:
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- accuracy
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- f1
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model-index:
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- name: multilingual_minilm-amazon_massive-intent_eu7
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results:
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- task:
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name: text-classification
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type: text-classification
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dataset:
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name: MASSIVE
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type: AmazonScience/massive
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split: test
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metrics:
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datasets:
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- AmazonScience/massive
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language:
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- en
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- de
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- fr
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- it
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- pl
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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language:
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- en
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- de
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- fr
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- it
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- pt
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- es
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- pl
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license: mit
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tags:
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- generated_from_trainer
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- nlu
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- text-classification
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datasets:
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- AmazonScience/massive
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metrics:
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- accuracy
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- f1
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base_model: microsoft/Multilingual-MiniLM-L12-H384
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model-index:
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- name: multilingual_minilm-amazon_massive-intent_eu7
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results:
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- task:
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type: text-classification
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name: text-classification
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dataset:
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name: MASSIVE
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type: AmazonScience/massive
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split: test
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metrics:
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- type: f1
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value: 0.8623
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name: F1
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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