Instructions to use context-sbf/test_explain_model_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use context-sbf/test_explain_model_small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("context-sbf/test_explain_model_small") model = AutoModelForSeq2SeqLM.from_pretrained("context-sbf/test_explain_model_small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from context-sbf/test_explain_model_small: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/context-sbf/test_explain_model_small/resolve/main/training_args.bin
- Command line
-
hf download hf://context-sbf/test_explain_model_small/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/context-sbf/test_explain_model_small/resolve/main/training_args.bin
3.52 kB
- Xet hash:
- ce13ee8e050a5770f082b6f91d47c00271eda2406694df40f50ac39bbe7ffc67
- Size of remote file:
- 3.52 kB
- SHA256:
- 457095c228741d0dee328fae296e7548ce062e6b52a90c04c5853b9748126954
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