Instructions to use HFXM/DynamicRules_RM-5e-5-1epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HFXM/DynamicRules_RM-5e-5-1epoch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HFXM/DynamicRules_RM-5e-5-1epoch")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HFXM/DynamicRules_RM-5e-5-1epoch") model = AutoModelForSequenceClassification.from_pretrained("HFXM/DynamicRules_RM-5e-5-1epoch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from HFXM/DynamicRules_RM-5e-5-1epoch: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
-
https://huggingface.co/HFXM/DynamicRules_RM-5e-5-1epoch/resolve/main/tokenizer.json
- Command line
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hf download hf://HFXM/DynamicRules_RM-5e-5-1epoch/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/HFXM/DynamicRules_RM-5e-5-1epoch/resolve/main/tokenizer.json
9.09 MB
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