Instructions to use Noobbbbb/banglabert-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Noobbbbb/banglabert-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Noobbbbb/banglabert-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Noobbbbb/banglabert-ner") model = AutoModelForTokenClassification.from_pretrained("Noobbbbb/banglabert-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Noobbbbb/banglabert-ner: direct link, hf CLI and curl.
- Browser
- Download file 383 Bytes
-
https://huggingface.co/Noobbbbb/banglabert-ner/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Noobbbbb/banglabert-ner/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Noobbbbb/banglabert-ner/resolve/main/tokenizer_config.json
383 Bytes
| { | |
| "backend": "tokenizers", | |
| "cls_token": "[CLS]", | |
| "do_lower_case": false, | |
| "full_tokenizer_file": null, | |
| "is_local": false, | |
| "mask_token": "[MASK]", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "strip_accents": null, | |
| "tokenize_chinese_chars": false, | |
| "tokenizer_class": "BertTokenizer", | |
| "unk_token": "[UNK]" | |
| } | |