Instructions to use dusersad12/NexusLM-Release-Repo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dusersad12/NexusLM-Release-Repo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dusersad12/NexusLM-Release-Repo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dusersad12/NexusLM-Release-Repo") model = AutoModel.from_pretrained("dusersad12/NexusLM-Release-Repo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from dusersad12/NexusLM-Release-Repo: direct link, hf CLI and curl.
- Browser
- Download file 27 Bytes
-
https://huggingface.co/dusersad12/NexusLM-Release-Repo/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://dusersad12/NexusLM-Release-Repo/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dusersad12/NexusLM-Release-Repo/resolve/main/pytorch_model.bin
27 Bytes
- Xet hash:
- 3057b6bfd5438e6834e98169ef7d45549f174963b4f3acba186b22b4c1b390da
- Size of remote file:
- 27 Bytes
- SHA256:
- 2ada433e97e4ed2a370044a7aba149ff04af648f99ce035fb5177d7cf7583207
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