Instructions to use marcchew/testv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcchew/testv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marcchew/testv2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marcchew/testv2") model = AutoModelForSequenceClassification.from_pretrained("marcchew/testv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 56
Verified signature4b406da -
Training in progress, step 48
Verified signature8702fb3 -
Training in progress, step 40
Verified signatureaed704e -
Training in progress, step 32
Verified signature3de2e69 -
Training in progress, step 24
Verified signature296e10b -
Training in progress, step 20
Verified signature9c5a3f3 -
Training in progress, step 12
Verified signaturefb4c13b -
Training in progress, step 4
Verified signatured1d30b4