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 tokenizer.json from k4black/t5-small-e-snli-generation-explanation_only-selected-b64: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/k4black/t5-small-e-snli-generation-explanation_only-selected-b64/resolve/main/tokenizer.json
- Command line
-
hf download hf://k4black/t5-small-e-snli-generation-explanation_only-selected-b64/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/k4black/t5-small-e-snli-generation-explanation_only-selected-b64/resolve/main/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.