Instructions to use SushantGautam/bert-large-cased_accuracy-coverage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SushantGautam/bert-large-cased_accuracy-coverage with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SushantGautam/bert-large-cased_accuracy-coverage")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SushantGautam/bert-large-cased_accuracy-coverage") model = AutoModelForSequenceClassification.from_pretrained("SushantGautam/bert-large-cased_accuracy-coverage", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
09f184a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:68e8f362e6c6757d763f980fe96c736989fa17baed24ecdb3e24c38a49a3b08b
size 2668971245
|