Instructions to use rhfeiyang/adv-nlp-hw1-huiren2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rhfeiyang/adv-nlp-hw1-huiren2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rhfeiyang/adv-nlp-hw1-huiren2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rhfeiyang/adv-nlp-hw1-huiren2") model = AutoModelForSequenceClassification.from_pretrained("rhfeiyang/adv-nlp-hw1-huiren2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffacd5457d32e3c8f4aeee25e78c2ebc371467b7eba90f6a5ae9349ca0b389dc
- Size of remote file:
- 90.9 MB
- SHA256:
- af69b633b3345e9161fe79d23df093cd29b56c2ee78713d741cfd9be66c777bb
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