Instructions to use seanmor5/tiny-random-mistral-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seanmor5/tiny-random-mistral-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="seanmor5/tiny-random-mistral-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("seanmor5/tiny-random-mistral-classification") model = AutoModelForSequenceClassification.from_pretrained("seanmor5/tiny-random-mistral-classification") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot