Instructions to use moiseserg/rhlfmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moiseserg/rhlfmodel with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("moiseserg/rhlfmodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from moiseserg/rhlfmodel: direct link, hf CLI and curl.
- Browser
- Download file 1.01 kB
-
https://huggingface.co/moiseserg/rhlfmodel/resolve/main/config.json
- Command line
-
hf download hf://moiseserg/rhlfmodel/config.json
-
curl -L -o config.json https://huggingface.co/moiseserg/rhlfmodel/resolve/main/config.json
1.01 kB
- Xet hash:
- 588032f55ea8f99becff8331c565bbf43640ea0e710a789cd18b2201ca80d0dc
- Size of remote file:
- 1.01 kB
- SHA256:
- 3f508d7207a17c67be7385a88b55a97286c30f31003a3157e75f87dca3283063
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