Instructions to use Denverse/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Denverse/test-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Denverse/test-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Denverse/test-model") model = AutoModelForSequenceClassification.from_pretrained("Denverse/test-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Added model and tokenizer
6f2ba34 -
Added model and tokenizer
a3ed66b -
Added model and tokenizer
a4395ae -
Delete README.md with huggingface_hub
Verified signature1de7f4f -
Upload README.md with huggingface_hub
Verified signature4722a88 -
initial commit
Verified signature9be294a