Instructions to use hf-tiny-model-private/tiny-random-ErnieMForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-ErnieMForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-tiny-model-private/tiny-random-ErnieMForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-ErnieMForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from hf-tiny-model-private/tiny-random-ErnieMForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 486 Bytes
-
https://huggingface.co/hf-tiny-model-private/tiny-random-ErnieMForTokenClassification/resolve/e99306788018c590d88406cba757d30c8bbd99ec/tokenizer_config.json
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-ErnieMForTokenClassification@e99306788018c590d88406cba757d30c8bbd99ec/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/hf-tiny-model-private/tiny-random-ErnieMForTokenClassification/resolve/e99306788018c590d88406cba757d30c8bbd99ec/tokenizer_config.json
486 Bytes
| { | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "[CLS]", | |
| "do_lower_case": false, | |
| "encoding": "utf8", | |
| "mask_token": "[MASK]", | |
| "model_max_length": 512, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "sp_model_kwargs": {}, | |
| "special_tokens_map_file": "/home/runner/.cache/huggingface/hub/models--susnato--ernie-m-base_pytorch/snapshots/dc3909120bc2c81f9e527b758df2b3ba79b63720/special_tokens_map.json", | |
| "tokenizer_class": "ErnieMTokenizer", | |
| "unk_token": "[UNK]" | |
| } | |