Instructions to use somosnlp-hackathon-2022/itama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use somosnlp-hackathon-2022/itama with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="somosnlp-hackathon-2022/itama")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("somosnlp-hackathon-2022/itama") model = AutoModelForSeq2SeqLM.from_pretrained("somosnlp-hackathon-2022/itama", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af298070aaffd16dee9a1f986410ff649637f7da8b1ccc874769a0c10c0da029
- Size of remote file:
- 2.33 GB
- SHA256:
- d0d5b2d07f6c353ac0e744d4bd66b3c17e548e21ecda025387880e40ff124c81
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