Instructions to use Alireza1044/albert-base-v2-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alireza1044/albert-base-v2-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Alireza1044/albert-base-v2-sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Alireza1044/albert-base-v2-sst2") model = AutoModelForSequenceClassification.from_pretrained("Alireza1044/albert-base-v2-sst2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84d6bccd33e1ad863a5e06c6021c27fb086674c263981606084c3c9f2efed625
- Size of remote file:
- 46.8 MB
- SHA256:
- 93c8d97db2205a5d6748479b105db67fe1c56466d78eb652d77005387f602900
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