Instructions to use pranaydeeps/lettuce_pos_de_xlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pranaydeeps/lettuce_pos_de_xlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pranaydeeps/lettuce_pos_de_xlm")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pranaydeeps/lettuce_pos_de_xlm") model = AutoModelForTokenClassification.from_pretrained("pranaydeeps/lettuce_pos_de_xlm") - Notebooks
- Google Colab
- Kaggle
File size: 468 Bytes
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"bos_token": "<s>",
"cls_token": "<s>",
"eos_token": "</s>",
"mask_token": {
"__type": "AddedToken",
"content": "<mask>",
"lstrip": true,
"normalized": true,
"rstrip": false,
"single_word": false
},
"model_max_length": 512,
"name_or_path": "xlm-roberta-base",
"pad_token": "<pad>",
"sep_token": "</s>",
"special_tokens_map_file": null,
"token": null,
"tokenizer_class": "XLMRobertaTokenizer",
"unk_token": "<unk>"
}
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