Instructions to use HenryAI/KerasBERTv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HenryAI/KerasBERTv1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HenryAI/KerasBERTv1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HenryAI/KerasBERTv1") model = AutoModelForMaskedLM.from_pretrained("HenryAI/KerasBERTv1") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("HenryAI/KerasBERTv1")
model = AutoModelForMaskedLM.from_pretrained("HenryAI/KerasBERTv1")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Thanks for checking this out!
This video explains the ideas behind KerasBERT (still very much a work in progress)
https://www.youtube.com/watch?v=J3P8WLAELqk
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HenryAI/KerasBERTv1")