Instructions to use unitary/toxic-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unitary/toxic-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="unitary/toxic-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("unitary/toxic-bert") model = AutoModelForSequenceClassification.from_pretrained("unitary/toxic-bert", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
update tokenizer config
Browse files- config.json +7 -9
- pytorch_model.bin +3 -0
config.json
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{
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"architectures": [
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"
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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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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-
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"max_position_embeddings":
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"model_type": "
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id":
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"type_vocab_size":
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"vocab_size":
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}
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{
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"type_vocab_size": 2,
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"vocab_size": 30522
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c1212f89ac23307ab33932ce29dc446a6e030fb3f384a500890bbe662b7b544a
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size 438021897
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