Instructions to use holistic-ai/fact-opinion-classification-albert-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use holistic-ai/fact-opinion-classification-albert-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="holistic-ai/fact-opinion-classification-albert-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("holistic-ai/fact-opinion-classification-albert-v2") model = AutoModelForSequenceClassification.from_pretrained("holistic-ai/fact-opinion-classification-albert-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e42f646d7b4b3ab59416426352ecb46a975c328a18de6c6dce196de81788642
- Size of remote file:
- 4.41 kB
- SHA256:
- ce4159defbc8b7143d7a714e34b4537555801075b0d7f6b279e94c452fb5607c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.