Instructions to use micole66/autotrain-pachyderm-1799762243 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use micole66/autotrain-pachyderm-1799762243 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="micole66/autotrain-pachyderm-1799762243")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("micole66/autotrain-pachyderm-1799762243", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7fc47f9656696094184e7ba149bdd3604fab63946c7ec7b2c81892ac8d0549b
- Size of remote file:
- 1.06 kB
- SHA256:
- d9eb931d53c29a1230bae483d4b09df98a69ac91fa0c0d952c93dafc3e8650ee
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.