Instructions to use contemmcm/d4c77fdcca51d32bc3ed461f53d08c9d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use contemmcm/d4c77fdcca51d32bc3ed461f53d08c9d with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="contemmcm/d4c77fdcca51d32bc3ed461f53d08c9d")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("contemmcm/d4c77fdcca51d32bc3ed461f53d08c9d") model = AutoModelForSequenceClassification.from_pretrained("contemmcm/d4c77fdcca51d32bc3ed461f53d08c9d", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!