Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use agi-css/distilroberta-base-etc-sym with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agi-css/distilroberta-base-etc-sym with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="agi-css/distilroberta-base-etc-sym")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("agi-css/distilroberta-base-etc-sym") model = AutoModelForSequenceClassification.from_pretrained("agi-css/distilroberta-base-etc-sym", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e01aab288bd557a01a0f57a7dba74da3fea8d488285dfaafd4d75e2ce2a8dc7
- Size of remote file:
- 3.06 kB
- SHA256:
- 9c2ed007e847b0699edf38f65880290ea8bde149c24527bcd3981d6c367f9cb9
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