Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use agi-css/distilroberta-base-etc-nlp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agi-css/distilroberta-base-etc-nlp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="agi-css/distilroberta-base-etc-nlp")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("agi-css/distilroberta-base-etc-nlp") model = AutoModelForSequenceClassification.from_pretrained("agi-css/distilroberta-base-etc-nlp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ee918b45d2e7a1277d7ec2a2a8c5d2206b236df97225bb1a8c2ff91cb5e3922
- Size of remote file:
- 3.06 kB
- SHA256:
- 591d8751f4ffe6dee6ead842c361b08d380295d2a1b3661259251c04ac2cdd96
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