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 training_args.bin from mrm8488/t5-base-finetuned-e2m-intent: direct link, hf CLI and curl.
- Browser
- Download file 1.46 kB
-
https://huggingface.co/mrm8488/t5-base-finetuned-e2m-intent/resolve/main/training_args.bin
- Command line
-
hf download hf://mrm8488/t5-base-finetuned-e2m-intent/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mrm8488/t5-base-finetuned-e2m-intent/resolve/main/training_args.bin
1.46 kB
- Xet hash:
- 2ae7af40fde1c7fd774184ecb01ee364b199a0cffeb22445c7a7308b88a4d9a5
- Size of remote file:
- 1.46 kB
- SHA256:
- 3f8b0425f5b2c39c75d4cd229fe8eb00bdceb3c9e3c257f511a23b71d7b07aaa
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