Text Classification
Transformers
Vietnamese
English
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Chat
chemistry
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code
Merge
text-generation-inference
art
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
| { | |
| "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" | |
| } | |