Instructions to use am-azadi/NLP_HuggingFace_Task with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use am-azadi/NLP_HuggingFace_Task with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="am-azadi/NLP_HuggingFace_Task")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("am-azadi/NLP_HuggingFace_Task") model = AutoModelForSequenceClassification.from_pretrained("am-azadi/NLP_HuggingFace_Task", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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