Instructions to use SaadRa/test_deepseek_hf_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SaadRa/test_deepseek_hf_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SaadRa/test_deepseek_hf_model", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SaadRa/test_deepseek_hf_model", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
File size: 154 Bytes
c084802 | 1 2 3 4 5 6 7 8 9 | {
"_from_model_config": true,
"bos_token_id": 0,
"eos_token_id": 1,
"max_length": 8192,
"pad_token_id": 2,
"transformers_version": "4.56.2"
}
|