Feature Extraction
Transformers
Safetensors
llama
bnb-my-repo
trl
sft
text-embeddings-inference
4-bit precision
bitsandbytes
Instructions to use punkt2/foodcalculator-nutrition-SmolLM2-135M-bnb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use punkt2/foodcalculator-nutrition-SmolLM2-135M-bnb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="punkt2/foodcalculator-nutrition-SmolLM2-135M-bnb")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("punkt2/foodcalculator-nutrition-SmolLM2-135M-bnb") model = AutoModel.from_pretrained("punkt2/foodcalculator-nutrition-SmolLM2-135M-bnb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K