Instructions to use ashhadahsan/amazon-subtheme-bert-base-finetuned-optimized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashhadahsan/amazon-subtheme-bert-base-finetuned-optimized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ashhadahsan/amazon-subtheme-bert-base-finetuned-optimized")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ashhadahsan/amazon-subtheme-bert-base-finetuned-optimized") model = AutoModelForSequenceClassification.from_pretrained("ashhadahsan/amazon-subtheme-bert-base-finetuned-optimized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Create vocab.txt
4f99e22 -
Create tokenizer_config.json
88a1e11 -
Create special_tokens_map.json
e5ad8ef -
Create added_tokens.json
4eca207 -
Update README.md
fc3e2e4 -
Create config.json
87d45a7 -
Rename amazon-subtheme-bert-base-finetuned-optimized.onnx to model.onnx
3e8087d -
Create README.md
d774bbd
-
Upload amazon-subtheme-bert-base-finetuned-optimized.onnx
58e25c0 -
initial commit
29ec8a6