Instructions to use ainewtrend07/google-rembert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ainewtrend07/google-rembert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ainewtrend07/google-rembert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ainewtrend07/google-rembert") model = AutoModelForSequenceClassification.from_pretrained("ainewtrend07/google-rembert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload RemBertForSequenceClassification
Verified signature7aa2b52
-
Upload tokenizer
Verified signature27fbf10 -
Upload RemBertForSequenceClassification
Verified signature8849778
-
Upload RemBertForSequenceClassification
Verified signature585fa2b
-
Upload RemBertForSequenceClassification
Verified signature96d6fee
-
Upload tokenizer
Verified signature7be8049 -
Upload RemBertForSequenceClassification
Verified signaturee68b68f -
Upload tokenizer
Verified signature501b074 -
Upload RemBertForSequenceClassification
Verified signature0834f10 -
initial commit
Verified signature2ab90bd