Instructions to use Salesforce/bic_simple_edit_id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/bic_simple_edit_id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Salesforce/bic_simple_edit_id")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Salesforce/bic_simple_edit_id") model = AutoModelForTokenClassification.from_pretrained("Salesforce/bic_simple_edit_id", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 378a13452c5b2e2180599ceedf791f3cc68b58a8ce66415c6edb8d92cac40003
- Size of remote file:
- 3.38 kB
- SHA256:
- 8e75ee44d16a132fd8c63e2b6523da4026769ad82b150f3ea410cd2b52f6c0f2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.