Instructions to use AnkitAI/reviews-roberta-base-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnkitAI/reviews-roberta-base-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnkitAI/reviews-roberta-base-sentiment-analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnkitAI/reviews-roberta-base-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("AnkitAI/reviews-roberta-base-sentiment-analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download openvino_model.bin from AnkitAI/reviews-roberta-base-sentiment-analysis: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/AnkitAI/reviews-roberta-base-sentiment-analysis/resolve/main/openvino_model.bin
- Command line
-
hf download hf://AnkitAI/reviews-roberta-base-sentiment-analysis/openvino_model.bin
-
curl -L -o openvino_model.bin https://huggingface.co/AnkitAI/reviews-roberta-base-sentiment-analysis/resolve/main/openvino_model.bin
499 MB
- Xet hash:
- 6bc0abdc0f57f805030dee25c06d60806467c588c497bf878cf7f10c1645811b
- Size of remote file:
- 499 MB
- SHA256:
- 667fae821d028f63a90743c0fde2665c60169ccc6130fbc61e1251f1053e0649
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