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 training_args.bin from harish/IMPLI-e10-eSNLI-e10-a0-5: direct link, hf CLI and curl.
- Browser
- Download file 3.7 kB
-
https://huggingface.co/harish/IMPLI-e10-eSNLI-e10-a0-5/resolve/main/training_args.bin
- Command line
-
hf download hf://harish/IMPLI-e10-eSNLI-e10-a0-5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/harish/IMPLI-e10-eSNLI-e10-a0-5/resolve/main/training_args.bin
3.7 kB
- Xet hash:
- 563520f62b105aab23de61ee8a603a2e0cc5acdf3670a546a36879c7b7998810
- Size of remote file:
- 3.7 kB
- SHA256:
- fe40607a686edbab63ff656b9acd05042f66498cf92bedc93b7e127253cddb45
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