Instructions to use lst-nectec/HoogBERTa-POS-lst20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lst-nectec/HoogBERTa-POS-lst20 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lst-nectec/HoogBERTa-POS-lst20")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lst-nectec/HoogBERTa-POS-lst20") model = AutoModelForTokenClassification.from_pretrained("lst-nectec/HoogBERTa-POS-lst20") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": "<mask>", | |
| "model_max_length": 512, | |
| "pad_token": "<pad>", | |
| "special_tokens_map_file": "data/converted_model_mlm_huggingface/special_tokens_map.json", | |
| "tokenizer_class": "PreTrainedTokenizerFast" | |
| } | |