Instructions to use Sefika/bert_large_baseline_1_9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sefika/bert_large_baseline_1_9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sefika/bert_large_baseline_1_9")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sefika/bert_large_baseline_1_9") model = AutoModelForSequenceClassification.from_pretrained("Sefika/bert_large_baseline_1_9", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload BertForSequenceClassification
Verified signature6111ea4 -
Upload BertForSequenceClassification
Verified signature1576b63 -
Upload BertForSequenceClassification
Verified signaturebbf6f8e
-
Upload BertForSequenceClassification
Verified signatureda4d98b -
initial commit
Verified signatureb58b3f1