Instructions to use ShengdingHu/sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ShengdingHu/sst2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ShengdingHu/sst2") model = AutoModelForMaskedLM.from_pretrained("ShengdingHu/sst2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
cc08b2a
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Parent(s): 668a05b
Training in progress, step 24600
Browse files
pytorch_model.bin
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