Instructions to use vania2911/11_6kmslsamples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vania2911/11_6kmslsamples with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vania2911/11_6kmslsamples") model = AutoModelForSeq2SeqLM.from_pretrained("vania2911/11_6kmslsamples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from vania2911/11_6kmslsamples: direct link, hf CLI and curl.
- Browser
- Download file 813 kB
-
https://huggingface.co/vania2911/11_6kmslsamples/resolve/main/source.spm
- Command line
-
hf download hf://vania2911/11_6kmslsamples/source.spm
-
curl -L -o source.spm https://huggingface.co/vania2911/11_6kmslsamples/resolve/main/source.spm
813 kB
- Xet hash:
- aa18000f77bc077a8bc244367f039495af32ec9836fc08f186f53ef211b92815
- Size of remote file:
- 813 kB
- SHA256:
- 93f941cf8afc7041c72c3cdd6e38253c26b8b41ad242db970f0fd0a9ef1f9173
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