Instructions to use harish/IMPLI-e10-eSNLI-e10-a0-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/IMPLI-e10-eSNLI-e10-a0-5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("harish/IMPLI-e10-eSNLI-e10-a0-5") model = AutoModelForSeq2SeqLM.from_pretrained("harish/IMPLI-e10-eSNLI-e10-a0-5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from harish/IMPLI-e10-eSNLI-e10-a0-5: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/harish/IMPLI-e10-eSNLI-e10-a0-5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://harish/IMPLI-e10-eSNLI-e10-a0-5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/harish/IMPLI-e10-eSNLI-e10-a0-5/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 25900499fabe1022b3979a75022acbe9e67d5da0051df81fd5f0bc3dc95b80c5
- Size of remote file:
- 892 MB
- SHA256:
- 5deb99b91d6d102559e6433a251f906e64f93d1ee17812c1b8d9d0315307f184
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