Instructions to use gritli/bert-sentiment-analyses-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gritli/bert-sentiment-analyses-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gritli/bert-sentiment-analyses-imdb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gritli/bert-sentiment-analyses-imdb") model = AutoModelForSequenceClassification.from_pretrained("gritli/bert-sentiment-analyses-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload tokenizer
Verified signaturea4a4c10 -
Upload BertForSequenceClassification
Verified signature8c12bde
-
Upload tokenizer
Verified signatureaf81351 -
Upload tokenizer
Verified signatureef56625 -
Upload BertForSequenceClassification
Verified signature2dd07a6 -
Upload tokenizer
Verified signature91a4eb1 -
Upload BertForSequenceClassification
Verified signatureb98c612
-
Upload BertForSequenceClassification
Verified signature534c301 -
Update README.md
Verified signature7f251a9 -
initial commit
Verified signature5b101a6