Instructions to use baseten/smol_llama-101M-GQAForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baseten/smol_llama-101M-GQAForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="baseten/smol_llama-101M-GQAForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("baseten/smol_llama-101M-GQAForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("baseten/smol_llama-101M-GQAForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
#1
by michaelfeil - opened
No description provided.
michaelfeil changed pull request status to merged