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