Token Classification
Transformers
Safetensors
PyTorch
English
qwen2
text-generation
custom-model
text-generation-inference
Instructions to use zeltera/SMITH with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zeltera/SMITH with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="zeltera/SMITH")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("zeltera/SMITH") model = AutoModelForCausalLM.from_pretrained("zeltera/SMITH", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from zeltera/SMITH: direct link, hf CLI and curl.
- Browser
- Download file 135 Bytes
-
https://huggingface.co/zeltera/SMITH/resolve/main/generation_config.json
- Command line
-
hf download hf://zeltera/SMITH/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/zeltera/SMITH/resolve/main/generation_config.json
135 Bytes
| { | |
| "eos_token_id": [ | |
| 151643 | |
| ], | |
| "max_new_tokens": 2048, | |
| "pad_token_id": 151643, | |
| "transformers_version": "4.57.3" | |
| } | |