Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use isanchez/text-comp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use isanchez/text-comp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="isanchez/text-comp")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("isanchez/text-comp") model = AutoModelForSequenceClassification.from_pretrained("isanchez/text-comp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8295dbd2939690e7ac14cf77ea242d7638722c4a55e4780ed3ba6d76ec227763
- Size of remote file:
- 329 MB
- SHA256:
- 19b1805560b1c59fc714d7464bdeff7372163e129775dcc2c1cc320854f91e54
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