Instructions to use divers/flan-large-req-extractor-seprator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use divers/flan-large-req-extractor-seprator with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("divers/flan-large-req-extractor-seprator") model = AutoModelForSeq2SeqLM.from_pretrained("divers/flan-large-req-extractor-seprator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from divers/flan-large-req-extractor-seprator: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/divers/flan-large-req-extractor-seprator/resolve/main/training_args.bin
- Command line
-
hf download hf://divers/flan-large-req-extractor-seprator/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/divers/flan-large-req-extractor-seprator/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 806acd888ed8cbb91ed94d32da32c0da544aaafdb4469a8b10bc27e6195a183c
- Size of remote file:
- 5.18 kB
- SHA256:
- ecc44aba1a56dd1eb1054d668cc7413f5468cab73641f94d9de86f8fb970f916
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