Instructions to use rose-e-wang/None with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rose-e-wang/None with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rose-e-wang/None")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rose-e-wang/None") model = AutoModelForSequenceClassification.from_pretrained("rose-e-wang/None", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a463a74fd8deb6228f3454f4e9ba27b0300b58adb9c461d4e45c0b7bd19fcbc8
- Size of remote file:
- 4.03 kB
- SHA256:
- 3a6c4a72d827b53bc587bf009b2b8ae9e2e549169b461ceed06293d4794bbdb1
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