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 training_args.bin from siditom/co-model_mask-rexpr-75w_1ft: direct link, hf CLI and curl.
- Browser
- Download file 3.12 kB
-
https://huggingface.co/siditom/co-model_mask-rexpr-75w_1ft/resolve/main/training_args.bin
- Command line
-
hf download hf://siditom/co-model_mask-rexpr-75w_1ft/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/siditom/co-model_mask-rexpr-75w_1ft/resolve/main/training_args.bin
3.12 kB
- Xet hash:
- dac07505a0e8174937d4ae6abbe7891d67f862bd5ff9ec6f20f08f56cdb0d64f
- Size of remote file:
- 3.12 kB
- SHA256:
- 1f77a08f0299f921b970911bce0839201ec07774bc6ce7627206445d974f4e61
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