Instructions to use jasong2024/bert-finetuned-quick-tutorial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jasong2024/bert-finetuned-quick-tutorial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jasong2024/bert-finetuned-quick-tutorial")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jasong2024/bert-finetuned-quick-tutorial") model = AutoModelForMaskedLM.from_pretrained("jasong2024/bert-finetuned-quick-tutorial") - Notebooks
- Google Colab
- Kaggle
Upload BertForMaskedLM
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 438080896
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9af2655bcfcce048fd399bdf9731aec9a41672d436c55453b68b6dc84acad067
|
| 3 |
size 438080896
|