Instructions to use yangwooko/powerinfer-seq-cls-ywko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yangwooko/powerinfer-seq-cls-ywko with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yangwooko/powerinfer-seq-cls-ywko")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yangwooko/powerinfer-seq-cls-ywko") model = AutoModelForSequenceClassification.from_pretrained("yangwooko/powerinfer-seq-cls-ywko", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30cd52416ec2b69771c251d6c00fb8267a792ed7f7000b33198f49b46d0d62b7
- Size of remote file:
- 7.54 kB
- SHA256:
- d2758dcf1b84f19e1c9f8be3ab79274d2805fc82e73601dd6c41786acdb6ae3c
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