Text Classification
Transformers
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text-generation-inference
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Instructions to use bkbj/Atest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bkbj/Atest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bkbj/Atest")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("bkbj/Atest") model = AutoModelForSequenceClassification.from_pretrained("bkbj/Atest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 570 Bytes
c007a0a 7521432 c007a0a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"do_lower_case": true,
"model_type": "bert",
"vocab_size": 30522,
"special_tokens_map": {
"unk_token": "[UNK]",
"sep_token": "[SEP]",
"pad_token": "[PAD]",
"cls_token": "[CLS]",
"mask_token": "[MASK]",
"eos_token": "<|endoftext|>",
"bos_token": "<|startoftext|>",
"user_token": "<|user|>",
"assistant_token": "<|assistant|>"
},
"padding_side": "right",
"truncation_side": "right",
"max_length": 1024,
"use_fast": true,
"tokenizer_class": "BertTokenizer"
}
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