Instructions to use fgaim/tiroberta-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fgaim/tiroberta-pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="fgaim/tiroberta-pos")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("fgaim/tiroberta-pos") model = AutoModelForTokenClassification.from_pretrained("fgaim/tiroberta-pos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from fgaim/tiroberta-pos: direct link, hf CLI and curl.
- Browser
- Download file 772 Bytes
-
https://huggingface.co/fgaim/tiroberta-pos/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://fgaim/tiroberta-pos/special_tokens_map.json
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curl -L -o special_tokens_map.json https://huggingface.co/fgaim/tiroberta-pos/resolve/main/special_tokens_map.json
772 Bytes
| {"bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "eos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "sep_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "pad_token": {"content": "<pad>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "cls_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true}} |