Instructions to use rootstrap-org/bert-sentiment-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BERTopic
How to use rootstrap-org/bert-sentiment-classifier with BERTopic:
from bertopic import BERTopic model = BERTopic.load("rootstrap-org/bert-sentiment-classifier") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| language: | |
| - en | |
| library_name: bertopic | |
| # Model Card for bert-sentiment-classifier | |
| ### Model Description | |
| Sentiment Classifier between positive and negative messages. | |
| - **Developed by:** Rootstrap | |
| - **Model type:** classifier | |
| - **Language:** English | |
| - **License:** MIT | |
| - **Finetuned from model:** Bert | |
| ### Model Sources | |
| - **Demo:** [rootstrap-org/bert-sentiment-classifier](https://huggingface.co/spaces/rootstrap-org/bert-sentiment-classifier/tree/main) | |
| ### Direct Use | |
| This classifier is used only for demo propose. | |
| ### Out-of-Scope Use | |
| This specific model has not been used in production. | |
| ## Training Details | |
| - Training has been done with [classify_sentiment_with_bert notebook](https://huggingface.co/spaces/rootstrap-org/bert-sentiment-classifier/blob/main/notebooks/classify_sentiment_with_bert.ipynb) | |
| - Fine tuning model [small_bert/bert_en_uncased_L-10_H-512_A-8](https://tfhub.dev/tensorflow/small_bert/bert_en_uncased_L-10_H-512_A-8/1) | |
| ## Evaluation | |