Instructions to use Tanor/BERTicSENTNEG6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tanor/BERTicSENTNEG6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tanor/BERTicSENTNEG6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tanor/BERTicSENTNEG6") model = AutoModelForSequenceClassification.from_pretrained("Tanor/BERTicSENTNEG6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4f6bf916a52fcfcdda6ba6c2029fc2ded70432600e1b36a16f830b9cf303126
- Size of remote file:
- 443 MB
- SHA256:
- 8a6fc8738598d727f1c64d1613e70ed53d52c7806d2d16d3650406f20daee0a0
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