Instructions to use yangwang825/bert-cls-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yangwang825/bert-cls-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="yangwang825/bert-cls-sst2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("yangwang825/bert-cls-sst2") model = AutoModel.from_pretrained("yangwang825/bert-cls-sst2") - Notebooks
- Google Colab
- Kaggle
Commit ·
a623fe6
1
Parent(s): 880d722
Push model using huggingface_hub.
Browse files- pytorch_model.bin +2 -2
pytorch_model.bin
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