Instructions to use melll-uff/bertweetbr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use melll-uff/bertweetbr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="melll-uff/bertweetbr")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("melll-uff/bertweetbr") model = AutoModelForMaskedLM.from_pretrained("melll-uff/bertweetbr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Fernando Carneiro commited on
Commit ·
a954008
1
Parent(s): e3337ff
BERTweetTokenizer
Browse files- config.json +1 -1
config.json
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"tokenizer_class": "
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"torch_dtype": "float32",
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"transformers_version": "4.11.3",
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"type_vocab_size": 1,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"tokenizer_class": "BertweetTokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.11.3",
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"type_vocab_size": 1,
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