Instructions to use connectivity/feather_berts_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/feather_berts_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/feather_berts_4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/feather_berts_4") model = AutoModelForSequenceClassification.from_pretrained("connectivity/feather_berts_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload hans_eval_bert_4.json with git-lfs
1987559 -
Upload mnli_eval_bert_4.json
4fe687c -
initial commit
b660e52 -
initial commit
c0a9f93