Instructions to use HoangHa/selfies-roberta-binary-cls-hsa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HoangHa/selfies-roberta-binary-cls-hsa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HoangHa/selfies-roberta-binary-cls-hsa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HoangHa/selfies-roberta-binary-cls-hsa") model = AutoModelForSequenceClassification.from_pretrained("HoangHa/selfies-roberta-binary-cls-hsa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96257468863655f514e21cbf2eb65362b77bb905548aa6011e103789a7896562
- Size of remote file:
- 6.2 kB
- SHA256:
- 93a7d7e1f7c2eba5e1e0be186702dec8e982153a79acbc64bc531531efa1d71a
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