Instructions to use boronbrown48/1_topic_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boronbrown48/1_topic_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="boronbrown48/1_topic_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("boronbrown48/1_topic_classification") model = AutoModelForSequenceClassification.from_pretrained("boronbrown48/1_topic_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from boronbrown48/1_topic_classification: direct link, hf CLI and curl.
- Browser
- Download file 305 Bytes
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https://huggingface.co/boronbrown48/1_topic_classification/resolve/main/special_tokens_map.json
- Command line
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hf download hf://boronbrown48/1_topic_classification/special_tokens_map.json
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curl -L -o special_tokens_map.json https://huggingface.co/boronbrown48/1_topic_classification/resolve/main/special_tokens_map.json
305 Bytes
| {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true}, "additional_special_tokens": ["<s>NOTUSED", "</s>NOTUSED", "<_>"]} |