Instructions to use luismond/tm2tb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luismond/tm2tb with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("luismond/tm2tb") model = AutoModelForSeq2SeqLM.from_pretrained("luismond/tm2tb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from luismond/tm2tb: direct link, hf CLI and curl.
- Browser
- Download file 484 MB
-
https://huggingface.co/luismond/tm2tb/resolve/main/optimizer.pt
- Command line
-
hf download hf://luismond/tm2tb/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/luismond/tm2tb/resolve/main/optimizer.pt
484 MB
- Xet hash:
- 1e80d2628666cb56897759e1590fcecf458f6053112bfaa7d549f5822c5e62cf
- Size of remote file:
- 484 MB
- SHA256:
- 1bdc462e4b51b770e28a40a2e4d7cea6fc9bb766533c05bc0d6777dfb9594edc
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