Instructions to use cbpuschmann/klimacoder2_v0.4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cbpuschmann/klimacoder2_v0.4b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="cbpuschmann/klimacoder2_v0.4b")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("cbpuschmann/klimacoder2_v0.4b") model = AutoModel.from_pretrained("cbpuschmann/klimacoder2_v0.4b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from cbpuschmann/klimacoder2_v0.4b: direct link, hf CLI and curl.
- Browser
- Download file 729 kB
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https://huggingface.co/cbpuschmann/klimacoder2_v0.4b/resolve/main/tokenizer.json
- Command line
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hf download hf://cbpuschmann/klimacoder2_v0.4b/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/cbpuschmann/klimacoder2_v0.4b/resolve/main/tokenizer.json
729 kB
File too large to display, you can check the raw version instead.