Instructions to use OliverHeine/bert-large-uncased_fold_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/bert-large-uncased_fold_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/bert-large-uncased_fold_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/bert-large-uncased_fold_2") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/bert-large-uncased_fold_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21216b81ab791c8623e6b5e4802f2e9f612b6caf30b0e715540f3d0108f15ef6
- Size of remote file:
- 5.84 kB
- SHA256:
- eefb47cd843fe2bfe3631ea51c4c9d894c543af120c9bb19e78e5dc54d81052c
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