Instructions to use gngpostalsrvc/BERiT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gngpostalsrvc/BERiT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="gngpostalsrvc/BERiT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("gngpostalsrvc/BERiT") model = AutoModelForMaskedLM.from_pretrained("gngpostalsrvc/BERiT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
6db779d
1
Parent(s): 06c704d
End of training
Browse files
runs/Mar03_01-09-01_f5aec34f0be3/events.out.tfevents.1677805753.f5aec34f0be3.823.0
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