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:
- 48e6b0bb217bc930e1a9ed31d521e790dc4efebe5b861c41c3e4a920c1b95a18
- Size of remote file:
- 1.06 kB
- SHA256:
- 40440e9428471f311084cafb4a31702072a8153131d834f0b8b395a77a216cba
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