Instructions to use zeroshot/wolfram-agent-dense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zeroshot/wolfram-agent-dense with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zeroshot/wolfram-agent-dense")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zeroshot/wolfram-agent-dense") model = AutoModelForSequenceClassification.from_pretrained("zeroshot/wolfram-agent-dense") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77e046e804b5570da4363f65731e2a762c96c5609dab5c42943f075bf115fc97
- Size of remote file:
- 3.2 kB
- SHA256:
- cf754d4604b3d447b1ef5b6b5a2b5623dd16112e85257e2b2595111182c63701
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