Instructions to use mrm8488/t5-base-finetuned-e2m-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/t5-base-finetuned-e2m-intent with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/t5-base-finetuned-e2m-intent") model = AutoModelForSeq2SeqLM.from_pretrained("mrm8488/t5-base-finetuned-e2m-intent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mrm8488/t5-base-finetuned-e2m-intent: direct link, hf CLI and curl.
- Browser
- Download file 1.19 GB
-
https://huggingface.co/mrm8488/t5-base-finetuned-e2m-intent/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mrm8488/t5-base-finetuned-e2m-intent/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mrm8488/t5-base-finetuned-e2m-intent/resolve/main/pytorch_model.bin
1.19 GB
- Xet hash:
- cdfbd5b7ba397036b9177fd1ee4ba4f57d1f57dfab207327feb6d8d6dfd8658a
- Size of remote file:
- 1.19 GB
- SHA256:
- 585558b263f9d272d930c3568b273c85bee596bbf92d0e91949c4a088ef87187
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