Instructions to use mirfan899/hindi-distilbert-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mirfan899/hindi-distilbert-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mirfan899/hindi-distilbert-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mirfan899/hindi-distilbert-ner") model = AutoModelForTokenClassification.from_pretrained("mirfan899/hindi-distilbert-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fef8e4bde5aeb7a1f0dc0707600041c95a17a1384437590a485ccef42fa7e765
- Size of remote file:
- 539 MB
- SHA256:
- b0b556f81f9f1293a76d88dfd5c3a29e6a5b9cf5969c59bb36daeb4fe7b26138
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.