Instructions to use faaany/bert-base-uncased-float32-traced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use faaany/bert-base-uncased-float32-traced with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="faaany/bert-base-uncased-float32-traced")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("faaany/bert-base-uncased-float32-traced") model = AutoModelForMaskedLM.from_pretrained("faaany/bert-base-uncased-float32-traced") - Notebooks
- Google Colab
- Kaggle
Fanli Lin commited on
Upload config.json
Browse files- config.json +2 -1
config.json
CHANGED
|
@@ -19,5 +19,6 @@
|
|
| 19 |
"transformers_version": "4.6.0.dev0",
|
| 20 |
"type_vocab_size": 2,
|
| 21 |
"use_cache": true,
|
| 22 |
-
"
|
|
|
|
| 23 |
}
|
|
|
|
| 19 |
"transformers_version": "4.6.0.dev0",
|
| 20 |
"type_vocab_size": 2,
|
| 21 |
"use_cache": true,
|
| 22 |
+
"torchscript": true,
|
| 23 |
+
"vocab_size": 30522,
|
| 24 |
}
|