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:
- fb48c17d7bf14c4374e6c9ed6ded20c403f330e8c12e461a98e9602ef5fa5d61
- Size of remote file:
- 1.06 kB
- SHA256:
- dbc8bae5b8747fc9e9b3acf56b2729b61f1bf2887bb2328ba98c1266147297d8
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