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:
- b08c6b5a035ecedc47f9539cb38b62cd775107e7361720c6d04aa1a629dd829a
- Size of remote file:
- 18.2 MB
- SHA256:
- dbee9f6b1c2cba29b335e70d6088eea943c7d5ae55ac7dd17174760bf758e309
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