Instructions to use gramajo/nouns-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gramajo/nouns-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gramajo/nouns-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gramajo/nouns-model") model = AutoModelForSequenceClassification.from_pretrained("gramajo/nouns-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db89afb7b5263a3ef3bd882b4e06563992a38c55be87fc726e0ae101aaaccdaa
- Size of remote file:
- 5.2 kB
- SHA256:
- 2af9343e68ea6d264ee066dd4827cc83348bde8f5bc4d94e763958ab035dfb00
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