Instructions to use pucpr-br/cardiobertpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pucpr-br/cardiobertpt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pucpr-br/cardiobertpt")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pucpr-br/cardiobertpt") model = AutoModelForMaskedLM.from_pretrained("pucpr-br/cardiobertpt") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1ca4144d2b6e66d4c95d5d5c3848f43365479f9470309cf2ccb9cea650cfdb8d
|
| 3 |
+
size 711926124
|