Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use skylord/pharma_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skylord/pharma_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="skylord/pharma_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("skylord/pharma_classification") model = AutoModelForSequenceClassification.from_pretrained("skylord/pharma_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 890ed17fc77de1dbc32d9b3d58ec6a685c8bae5806b2e40a23ba6ba07c430c86
- Size of remote file:
- 4.92 kB
- SHA256:
- d03217c4bd9bcefed5aac74887e8af89205ab97fa69573fb1624a269f263ed02
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