Instructions to use 51la5/roberta-base-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 51la5/roberta-base-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="51la5/roberta-base-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("51la5/roberta-base-sentiment") model = AutoModelForSequenceClassification.from_pretrained("51la5/roberta-base-sentiment") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
cd56e22 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:69558465a46d77d5bb12f0bf2f792d17a9e81643c557f7f69fe8ea96adfb6481
size 498595901
|