Instructions to use Talip7/bert-base-sst2-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Talip7/bert-base-sst2-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Talip7/bert-base-sst2-finetuned")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Talip7/bert-base-sst2-finetuned") model = AutoModelForSequenceClassification.from_pretrained("Talip7/bert-base-sst2-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature280cbe5 -
Update README.md
Verified signature694c5d8 -
Update README.md
Verified signature26b001a -
Update README.md
Verified signatureecc266f -
Update README.md
Verified signature3a9a17c -
Update README.md
Verified signaturef444345 -
Update README.md
Verified signature3465b11 -
Update README.md
Verified signature5877cea -
Update README.md
Verified signaturefc2a61e
-
Upload README.md with huggingface_hub
Verified signature2ecb5cf -
Upload folder using huggingface_hub
Verified signature1e0763b -
Upload README.md with huggingface_hub
Verified signature35d1707 -
Upload tokenizer
Verified signatureee5ba77 -
Upload BertForSequenceClassification
Verified signature2adcfea -
initial commit
Verified signatureae2966c