Instructions to use iamnguyen/bert-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamnguyen/bert-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="iamnguyen/bert-sentiment")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("iamnguyen/bert-sentiment") model = AutoModelForSequenceClassification.from_pretrained("iamnguyen/bert-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 2500
Verified signatureb125885 -
Training in progress, step 2000
Verified signatureb25e90a -
Training in progress, step 1500
Verified signaturee6d7a57 -
Training in progress, step 1000
Verified signature5f0fcda -
Training in progress, step 500
Verified signature667db4e -
Training in progress, step 500
Verified signature71752c4 -
Training in progress, step 1000
Verified signature39a604e -
Training in progress, step 500
Verified signature339c878
-
initial commit
Verified signatured0041f7