Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use FFZG-cleopatra/M2SA-text-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FFZG-cleopatra/M2SA-text-only with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FFZG-cleopatra/M2SA-text-only")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FFZG-cleopatra/M2SA-text-only") model = AutoModelForSequenceClassification.from_pretrained("FFZG-cleopatra/M2SA-text-only", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b59273a4ce2d2d0164ce328ab194de50a958e970e6938507eebd74795926d94
- Size of remote file:
- 1.06 kB
- SHA256:
- 6409693cc35a237a60aaed423aa394a034d367e998aa6eac4e0ae4401d5b90d2
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