Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use manasvinid/Sentiment-Analysis-on-Twitter-BCS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manasvinid/Sentiment-Analysis-on-Twitter-BCS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="manasvinid/Sentiment-Analysis-on-Twitter-BCS")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("manasvinid/Sentiment-Analysis-on-Twitter-BCS") model = AutoModelForSequenceClassification.from_pretrained("manasvinid/Sentiment-Analysis-on-Twitter-BCS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
b022a6a -
End of training
fc95bc9 -
Training in progress, epoch 4
7086bbf -
Training in progress, epoch 3
432b583 -
Training in progress, epoch 2
42267ac -
Training in progress, epoch 1
e84d27b -
Training in progress, epoch 2
98e872e -
Training in progress, epoch 1
dad3a60 -
Training in progress, epoch 2
1907335 -
Training in progress, epoch 1
e063235 -
Training in progress, epoch 1
6e68421
-
initial commit
a7bd999