Instructions to use barryhpr/adv-nlp-hw1-pengruihan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use barryhpr/adv-nlp-hw1-pengruihan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="barryhpr/adv-nlp-hw1-pengruihan")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("barryhpr/adv-nlp-hw1-pengruihan") model = AutoModelForSequenceClassification.from_pretrained("barryhpr/adv-nlp-hw1-pengruihan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 674f6729a9510c52931a82dab26393386b86e4e8e6462431e371a605a04c234b
- Size of remote file:
- 90.9 MB
- SHA256:
- 10f378841714a7a2d4fec88b5bcd2e1ce7e2024a655d305001a830d1f2ed0e48
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