Instructions to use khoon485/x-x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khoon485/x-x with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("khoon485/x-x") model = AutoModelForSeq2SeqLM.from_pretrained("khoon485/x-x", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from khoon485/x-x: direct link, hf CLI and curl.
- Browser
- Download file 1.78 GB
-
https://huggingface.co/khoon485/x-x/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://khoon485/x-x@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/khoon485/x-x/resolve/refs%2Fpr%2F1/optimizer.pt
1.78 GB
- Xet hash:
- 0c0faaa1198d195bc0b712878d0f412100729828aceaf9521f06789d749d90c9
- Size of remote file:
- 1.78 GB
- SHA256:
- dda6fb47598a3c4d7e0183f11bcc07d7b518fcb40f9facd62984206e748d3a01
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