Instructions to use Suchae/eagle2-2b-trl-grpo-Multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Suchae/eagle2-2b-trl-grpo-Multitask with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Suchae/eagle2-2b-trl-grpo-Multitask", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Suchae/eagle2-2b-trl-grpo-Multitask: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Suchae/eagle2-2b-trl-grpo-Multitask/resolve/main/tokenizer.json
- Command line
-
hf download hf://Suchae/eagle2-2b-trl-grpo-Multitask/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Suchae/eagle2-2b-trl-grpo-Multitask/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- b94fd79df9ecc139317b077d2c43cd9a646ce4894d0e33a6b0fed39bedeb31c2
- Size of remote file:
- 11.4 MB
- SHA256:
- 9b536a0320fc6038134dd6bf6108025d41a5db099bb06b7d9bc2281bac37dbbb
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