Text Classification
Transformers
PyTorch
English
bert
Text Classification
environmental-claims
bert-base-uncased
Eval Results (legacy)
text-embeddings-inference
Instructions to use Vinoth24/environmental_claims with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vinoth24/environmental_claims with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Vinoth24/environmental_claims")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Vinoth24/environmental_claims") model = AutoModelForSequenceClassification.from_pretrained("Vinoth24/environmental_claims", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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