Instructions to use reyvan/bert_large_maths with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reyvan/bert_large_maths with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="reyvan/bert_large_maths")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("reyvan/bert_large_maths") model = AutoModelForSequenceClassification.from_pretrained("reyvan/bert_large_maths", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from reyvan/bert_large_maths: direct link, hf CLI and curl.
- Browser
- Download file 28 Bytes
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https://huggingface.co/reyvan/bert_large_maths/resolve/refs%2Fpr%2F1/README.md
- Command line
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hf download hf://reyvan/bert_large_maths@refs/pr/1/README.md
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curl -L -o README.md https://huggingface.co/reyvan/bert_large_maths/resolve/refs%2Fpr%2F1/README.md
28 Bytes
| license: apache-2.0 | |