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 mask_model_eval.csv from siditom/co-model_mask-rexpr-75w_1ft: direct link, hf CLI and curl.
- Browser
- Download file 99.2 MB
-
https://huggingface.co/siditom/co-model_mask-rexpr-75w_1ft/resolve/main/mask_model_eval.csv
- Command line
-
hf download hf://siditom/co-model_mask-rexpr-75w_1ft/mask_model_eval.csv
-
curl -L -o mask_model_eval.csv https://huggingface.co/siditom/co-model_mask-rexpr-75w_1ft/resolve/main/mask_model_eval.csv
99.2 MB
- Xet hash:
- c0520c654b6e4004202f7be0ef19a7455a7f68220ec202b79d4312040810cbe3
- Size of remote file:
- 99.2 MB
- SHA256:
- 491e9c43d283237aab0b22395eb0dc4d8c63c273644708a72ebc96518eb918d7
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