Instructions to use Anwaarma/edos_task_llama3b_B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anwaarma/edos_task_llama3b_B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Anwaarma/edos_task_llama3b_B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload model
Verified signaturefc74f71 -
Upload lora/test_preds_margin.csv with huggingface_hub
Verified signature388222b -
Upload lora/adapter_config.json with huggingface_hub
Verified signature9853a47 -
Upload lora/test_preds_margin.csv with huggingface_hub
Verified signaturedfb6c41 -
Upload lora/margin.json with huggingface_hub
Verified signature1eeb240 -
Upload lora/tokenizer_config.json with huggingface_hub
Verified signatureeac1aa7 -
Upload lora/special_tokens_map.json with huggingface_hub
Verified signature2a42d16 -
Upload lora/tokenizer.json with huggingface_hub
Verified signaturea95e5a7 -
Upload lora/adapter_config.json with huggingface_hub
Verified signaturee7c35b2 -
initial commit
Verified signature7bc3471