Instructions to use Zombely/RobertaForSequenceClassification-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zombely/RobertaForSequenceClassification-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Zombely/RobertaForSequenceClassification-sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Zombely/RobertaForSequenceClassification-sst2") model = AutoModelForSequenceClassification.from_pretrained("Zombely/RobertaForSequenceClassification-sst2") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
b9c78c4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:549a630b0d3570bc69d30493d87fb938dc540775c2678ffe53f80beffecf2b9b
size 498662069
|