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 pytorch_model.bin from divers/flan-large-req-extractor-seprator: direct link, hf CLI and curl.
- Browser
- Download file 3.13 GB
-
https://huggingface.co/divers/flan-large-req-extractor-seprator/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://divers/flan-large-req-extractor-seprator/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/divers/flan-large-req-extractor-seprator/resolve/main/pytorch_model.bin
3.13 GB
- Xet hash:
- 6b9abfac8ed5d5db2c6772a35747c046fa92b75dd3d236597ed3775508a39e55
- Size of remote file:
- 3.13 GB
- SHA256:
- 391c4b0c8335ed3f1417582270ddf55c27801127fee02f1efd4dbf0bcb74618e
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