Instructions to use surrey-nlp/MonoTQ-XLMV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use surrey-nlp/MonoTQ-XLMV with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="surrey-nlp/MonoTQ-XLMV")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("surrey-nlp/MonoTQ-XLMV") model = AutoModelForSequenceClassification.from_pretrained("surrey-nlp/MonoTQ-XLMV") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a749398a2063568c0978b34f84c342220c37314dfb4554ab047263c4438bb17e
- Size of remote file:
- 3.13 kB
- SHA256:
- c3e290c81b8b0711de26a57f1220475fb76eae4778cdcc3c6923d650ae552ff0
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