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
File size: 603 Bytes
ea9df08 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"cls_token": "[CLS]",
"do_basic_tokenize": true,
"do_lower_case": false,
"lowercase": false,
"mask_token": "[MASK]",
"model_max_length": 512,
"name_or_path": "google/muril-base-cased",
"never_split": null,
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"special_tokens_map_file": "/home/diptesh/.cache/huggingface/transformers/290471f6a01c9af0dd0bcf02112dc77b9b0aee820ebb1fb023c96ac2dda9d8ef.750293617705dd39d21eef1e163d80ca5b23e1a0ec507fff24a087c44632142c",
"strip_accents": false,
"tokenize_chinese_chars": true,
"tokenizer_class": "BertTokenizer",
"unk_token": "[UNK]"
}
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