Instructions to use vinai/bertweet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinai/bertweet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vinai/bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vinai/bertweet-base") model = AutoModelForMaskedLM.from_pretrained("vinai/bertweet-base") - Inference
- Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +3 -0
config.json
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"architectures": [
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"RobertaForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"eos_token_id": 2,
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"architectures": [
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"RobertaForMaskedLM"
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],
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"auto_map": {
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"AutoTokenizer": "tokenization_bertweet_fast.BertweetTokenizerFast"
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},
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"eos_token_id": 2,
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