Instructions to use pin/analytical with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pin/analytical with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pin/analytical")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pin/analytical") model = AutoModelForSequenceClassification.from_pretrained("pin/analytical") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37e517ff5fa7d3deb272c9ac44840cc7a1f73e8f482a8a55dda973ad54c4b156
- Size of remote file:
- 2.35 kB
- SHA256:
- ec4c661f53a945e42c1dc4229d640ebe9d1c36b27566854d419a6100054d3623
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