Instructions to use siditom/co-model_mask-rexpr-75w_1ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use siditom/co-model_mask-rexpr-75w_1ft with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("siditom/co-model_mask-rexpr-75w_1ft") model = AutoModelForSeq2SeqLM.from_pretrained("siditom/co-model_mask-rexpr-75w_1ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from siditom/co-model_mask-rexpr-75w_1ft: direct link, hf CLI and curl.
- Browser
- Download file 26.6 MB
-
https://huggingface.co/siditom/co-model_mask-rexpr-75w_1ft/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://siditom/co-model_mask-rexpr-75w_1ft/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/siditom/co-model_mask-rexpr-75w_1ft/resolve/main/pytorch_model.bin
26.6 MB
- Xet hash:
- 1c18319830f0d96dde80f500fc080c739b3f2c3892e43a3493403fd8cf4e72f9
- Size of remote file:
- 26.6 MB
- SHA256:
- 7abf199d26904f14e9b015aa9b63222a6230651a0dc5ea91426a23f6a08de131
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