Feature Extraction
Transformers
TensorBoard
Safetensors
opensci
llama-factory
full
Generated from Trainer
custom_code
Instructions to use open-sci/sft_ot30k_1.7b-MixtureVitae-300BT-v1-decontaminated-16k-SFT-Tulu3-decontaminated_v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use open-sci/sft_ot30k_1.7b-MixtureVitae-300BT-v1-decontaminated-16k-SFT-Tulu3-decontaminated_v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="open-sci/sft_ot30k_1.7b-MixtureVitae-300BT-v1-decontaminated-16k-SFT-Tulu3-decontaminated_v0", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("open-sci/sft_ot30k_1.7b-MixtureVitae-300BT-v1-decontaminated-16k-SFT-Tulu3-decontaminated_v0", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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