Instructions to use DhaneshV/T2Fillups with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DhaneshV/T2Fillups with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DhaneshV/T2Fillups") model = AutoModelForSeq2SeqLM.from_pretrained("DhaneshV/T2Fillups", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from DhaneshV/T2Fillups: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/DhaneshV/T2Fillups/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://DhaneshV/T2Fillups/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DhaneshV/T2Fillups/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 97985f8b9ee5e68c9b045d421397ba8c7a9a095dcfcf8c34e0f73b43a7e88b59
- Size of remote file:
- 892 MB
- SHA256:
- b5a72ab11f966aecd0f87d788dbd2e8e0867751d68227f0459aba0df8b80aefe
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