Instructions to use HyperlinksSpace/TinyModel1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HyperlinksSpace/TinyModel1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HyperlinksSpace/TinyModel1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HyperlinksSpace/TinyModel1") model = AutoModelForSequenceClassification.from_pretrained("HyperlinksSpace/TinyModel1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 347 Bytes
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"sep_token": "[SEP]",
"strip_accents": null,
"tokenize_chinese_chars": true,
"tokenizer_class": "BertTokenizer",
"unk_token": "<redacted_UNK>"
}
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