Text Classification
Transformers
PyTorch
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use IIIT-L/xlm-roberta-large-finetuned-code-mixed-DS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IIIT-L/xlm-roberta-large-finetuned-code-mixed-DS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IIIT-L/xlm-roberta-large-finetuned-code-mixed-DS")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IIIT-L/xlm-roberta-large-finetuned-code-mixed-DS") model = AutoModelForSequenceClassification.from_pretrained("IIIT-L/xlm-roberta-large-finetuned-code-mixed-DS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8892aa8a8ed4b99019559b614b2ba73a14f5d3265d0556c999bc55216fe0d4c5
- Size of remote file:
- 3.31 kB
- SHA256:
- 162f26a06cfedb5b28e87e69df15ce142d516adf37cdbf5bf1b9c9079b7b86d8
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