Instructions to use fahadqazi/Sindhi-BPE-Tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fahadqazi/Sindhi-BPE-Tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fahadqazi/Sindhi-BPE-Tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from fahadqazi/Sindhi-BPE-Tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 189 Bytes
-
https://huggingface.co/fahadqazi/Sindhi-BPE-Tokenizer/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://fahadqazi/Sindhi-BPE-Tokenizer/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/fahadqazi/Sindhi-BPE-Tokenizer/resolve/main/special_tokens_map.json
189 Bytes
| { | |
| "bos_token": "<|endoftext|>", | |
| "cls_token": "[CLS]", | |
| "eos_token": "<|endoftext|>", | |
| "mask_token": "[MASK]", | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "unk_token": "[UNK]" | |
| } | |