Instructions to use hf-tiny-model-private/tiny-random-XmodForTokenClassification 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-XmodForTokenClassification 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-XmodForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-XmodForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-XmodForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from hf-tiny-model-private/tiny-random-XmodForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 279 Bytes
-
https://huggingface.co/hf-tiny-model-private/tiny-random-XmodForTokenClassification/resolve/refs%2Fpr%2F1/special_tokens_map.json
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-XmodForTokenClassification@refs/pr/1/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/hf-tiny-model-private/tiny-random-XmodForTokenClassification/resolve/refs%2Fpr%2F1/special_tokens_map.json
279 Bytes
| { | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": { | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "unk_token": "<unk>" | |
| } | |