Token Classification
Transformers
PyTorch
Safetensors
code
Hindi
xlm-roberta
codemix
english-hindi
pos-tagging
Instructions to use prakod/en-hi-pos-tagger-symcom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prakod/en-hi-pos-tagger-symcom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="prakod/en-hi-pos-tagger-symcom")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("prakod/en-hi-pos-tagger-symcom") model = AutoModelForTokenClassification.from_pretrained("prakod/en-hi-pos-tagger-symcom", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89054104a3a3dc2f82e39dc2bebb14404af63615227966e5f76e055014777dd2
- Size of remote file:
- 1.11 GB
- SHA256:
- 5c65f31c557c2c9c85822db95932211bb364cb68649908d11d58f35b8ae91b1d
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