Instructions to use malteos/aspect-scibert-method with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malteos/aspect-scibert-method with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="malteos/aspect-scibert-method")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("malteos/aspect-scibert-method") model = AutoModel.from_pretrained("malteos/aspect-scibert-method", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from malteos/aspect-scibert-method: direct link, hf CLI and curl.
- Browser
- Download file 24 Bytes
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https://huggingface.co/malteos/aspect-scibert-method/resolve/main/README.md
- Command line
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hf download hf://malteos/aspect-scibert-method/README.md
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curl -L -o README.md https://huggingface.co/malteos/aspect-scibert-method/resolve/main/README.md
24 Bytes
metadata
license: mit