Instructions to use akseljoonas/biotech-sentiment-test-A2-deberta-large-ce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akseljoonas/biotech-sentiment-test-A2-deberta-large-ce with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="akseljoonas/biotech-sentiment-test-A2-deberta-large-ce")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("akseljoonas/biotech-sentiment-test-A2-deberta-large-ce") model = AutoModelForSequenceClassification.from_pretrained("akseljoonas/biotech-sentiment-test-A2-deberta-large-ce") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
033e356 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1763a2870697324a4cf732eee1b663a1aa153f9e1a13cb867b09c16ac7b97cc4
size 5265
|