Instructions to use ArunAIML/content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArunAIML/content with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ArunAIML/content")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ArunAIML/content") model = AutoModelForSequenceClassification.from_pretrained("ArunAIML/content", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 848d7474f512a2ce9fa6f7501ac873e83503699d67371a48a6e3248566033c5a
- Size of remote file:
- 5.24 kB
- SHA256:
- 31eda2ba3eacae901517a4a660c59245ba87a28cc57a03596ee7d19ad124b104
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