Instructions to use k4black/t5-small-e-snli-generation-explanation_only-selected-b64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use k4black/t5-small-e-snli-generation-explanation_only-selected-b64 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("k4black/t5-small-e-snli-generation-explanation_only-selected-b64") model = AutoModelForSeq2SeqLM.from_pretrained("k4black/t5-small-e-snli-generation-explanation_only-selected-b64", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from k4black/t5-small-e-snli-generation-explanation_only-selected-b64: direct link, hf CLI and curl.
- Browser
- Download file 3.9 kB
-
https://huggingface.co/k4black/t5-small-e-snli-generation-explanation_only-selected-b64/resolve/main/training_args.bin
- Command line
-
hf download hf://k4black/t5-small-e-snli-generation-explanation_only-selected-b64/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/k4black/t5-small-e-snli-generation-explanation_only-selected-b64/resolve/main/training_args.bin
3.9 kB
- Xet hash:
- 4bb709e85d00ce69904d84dfc548485779141bb21aedb901bd192957473a9ed1
- Size of remote file:
- 3.9 kB
- SHA256:
- 56934fb9396918bcbb21c649a8cf3c6543e3a8003906e7f5545a3b9b1261fd6c
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