Instructions to use alansynn/bert-base-banking77-pt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alansynn/bert-base-banking77-pt2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alansynn/bert-base-banking77-pt2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alansynn/bert-base-banking77-pt2") model = AutoModelForSequenceClassification.from_pretrained("alansynn/bert-base-banking77-pt2") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- 1682663098.291861
- 1682663284.4396262
- 1682663526.304242
- 1682664866.0667012
- 1682665452.1689198
- 1682665534.676661
- 1682665598.5813365
- 1682665642.2317002
- 1682665864.0290954
- 1682666196.463757
- 1682667286.3639119
- 1682667311.511612
- 1682667590.411673
- 1682667717.5479162
- 1682668086.706273
- 1682668347.1791253
- 1682668819.09261
- 1682669197.1026537
- 1682669678.783094
- 1682671551.612161
- 1682671964.205323
- 1682673422.987339
- 1682673779.6710556
- 9.28 kB xet
- 9.28 kB xet
- 9.94 kB xet
- 3.24 kB xet
- 9.28 kB xet
- 9.28 kB xet
- 9.28 kB xet
- 9.94 kB xet
- 9.94 kB xet
- 9.94 kB xet
- 9.28 kB xet
- 9.94 kB xet
- 9.94 kB xet
- 9.94 kB xet
- 9.94 kB xet
- 9.94 kB xet
- 9.94 kB xet
- 9.94 kB xet
- 9.94 kB xet
- 9.94 kB xet
- 13.3 kB xet
- 9.94 kB xet
- 9.58 kB xet