Instructions to use EndLessTime/fine_tuned_roct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndLessTime/fine_tuned_roct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndLessTime/fine_tuned_roct")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndLessTime/fine_tuned_roct") model = AutoModelForSequenceClassification.from_pretrained("EndLessTime/fine_tuned_roct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50a4b544529ed88ffc232276bb3eeccee088ecefde11765026ed16119cf52ee3
- Size of remote file:
- 5.24 kB
- SHA256:
- e7877932fcbd72efe9ef3454fb825e429d9d241e2cabeb89759c9fdd1d45c0e0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.