Instructions to use jacklin/DistilBERT-AGG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jacklin/DistilBERT-AGG with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jacklin/DistilBERT-AGG")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jacklin/DistilBERT-AGG") model = AutoModelForMaskedLM.from_pretrained("jacklin/DistilBERT-AGG") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33ca04d74fcbde3c4bc95dbd09229c636168d427911a80a4e2f3cea5389b8786
- Size of remote file:
- 268 MB
- SHA256:
- 8a886defcf7939fc095bc7b04967fcb2f736ac77fa184cf8d2dd30b8391db006
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