Instructions to use xfcxcxcdfdfd/tesdfdfv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xfcxcxcdfdfd/tesdfdfv1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("xfcxcxcdfdfd/tesdfdfv1") model = AutoModel.from_pretrained("xfcxcxcdfdfd/tesdfdfv1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from xfcxcxcdfdfd/tesdfdfv1: direct link, hf CLI and curl.
- Browser
- Download file 54 Bytes
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https://huggingface.co/xfcxcxcdfdfd/tesdfdfv1/resolve/main/README.md
- Command line
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hf download hf://xfcxcxcdfdfd/tesdfdfv1/README.md
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curl -L -o README.md https://huggingface.co/xfcxcxcdfdfd/tesdfdfv1/resolve/main/README.md
54 Bytes
metadata
license: apache-2.0
library_name: transformers