Instructions to use RodrigoStuqui/grive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RodrigoStuqui/grive with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RodrigoStuqui/grive")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RodrigoStuqui/grive") model = AutoModelForSequenceClassification.from_pretrained("RodrigoStuqui/grive", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload tokenizer
Verified signatured192ab6 -
Upload Tokenizer
Verified signature1e1fe4e -
Upload BertForSequenceClassification
Verified signature0800859 -
Upload BertForSequenceClassification
Verified signature1f08d41 -
Upload BertForSequenceClassification
Verified signature14dab74
-
initial commit
Verified signature0dd34fd