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")# 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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened 6 months ago
by
SFconvertbot