Instructions to use moussaKam/tiny_bert-base_bert-score with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moussaKam/tiny_bert-base_bert-score with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="moussaKam/tiny_bert-base_bert-score")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("moussaKam/tiny_bert-base_bert-score") model = AutoModelForSequenceClassification.from_pretrained("moussaKam/tiny_bert-base_bert-score", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
28875f2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5291f740d57b97ba5a32c53eca370276fe29044a905ded8de4c2022c5112b38b
size 17565609
|