Text Classification
Transformers
PyTorch
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use IIIT-L/muril-base-cased-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/muril-base-cased-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/muril-base-cased-finetuned-code-mixed-DS")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IIIT-L/muril-base-cased-finetuned-code-mixed-DS") model = AutoModelForSequenceClassification.from_pretrained("IIIT-L/muril-base-cased-finetuned-code-mixed-DS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e58a99e6fb7352a06e438f4f41f9da0c5b7de73e62a766a5fb92424486bdc883
- Size of remote file:
- 3.38 kB
- SHA256:
- feb71a7ec1e5fcb5bfd07f8b6dd26c288dba7eed017cc4dfe7591ac283181839
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