Instructions to use phueb/BabyBERTa-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phueb/BabyBERTa-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="phueb/BabyBERTa-1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("phueb/BabyBERTa-1") model = AutoModelForMaskedLM.from_pretrained("phueb/BabyBERTa-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
add metadata
86e225d -
add decoder to tokenizer config
b74aa12
-
table
1c0595e -
table
f3f2b02 -
fix link
df8908b -
fix link
0929141 -
add table
96ea199
-
add info about loading tokenizer
13c39ae -
add info about loading tokenizer
096814d -
add more info
d64ce14 -
add performance info
3a4027c
-
add more info
f5e1df5 -
Update from ph
6fa1048 -
initial commit
9c4be6e