Instructions to use tner/roberta-large-fin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/roberta-large-fin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/roberta-large-fin")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/roberta-large-fin") model = AutoModelForTokenClassification.from_pretrained("tner/roberta-large-fin", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add tokenizer
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
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@@ -6,7 +6,7 @@
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"errors": "replace",
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"mask_token": "<mask>",
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"model_max_length": 512,
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"name_or_path": "tner_ckpt/fin_roberta_large/
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"special_tokens_map_file": "tner_ckpt/fin_roberta_large/model_rcsnba/epoch_5/special_tokens_map.json",
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"errors": "replace",
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"mask_token": "<mask>",
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"model_max_length": 512,
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+
"name_or_path": "tner_ckpt/fin_roberta_large/best_model",
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"special_tokens_map_file": "tner_ckpt/fin_roberta_large/model_rcsnba/epoch_5/special_tokens_map.json",
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