Instructions to use JulienRPA/BERT_SPARQL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JulienRPA/BERT_SPARQL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="JulienRPA/BERT_SPARQL")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("JulienRPA/BERT_SPARQL") model = AutoModelForMaskedLM.from_pretrained("JulienRPA/BERT_SPARQL") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
generation_config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
"_from_model_config": true,
|
| 3 |
"pad_token_id": 0,
|
| 4 |
-
"transformers_version": "4.
|
| 5 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"_from_model_config": true,
|
| 3 |
"pad_token_id": 0,
|
| 4 |
+
"transformers_version": "4.30.0.dev0"
|
| 5 |
}
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 444064249
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9dce214e67a2dff614d0b504ff7783f95aae900ca457cf848595e363f64371d9
|
| 3 |
size 444064249
|
runs/May30_07-15-46_3105702ed930/events.out.tfevents.1685431100.3105702ed930.2539.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2d59026692e262473444ae0d61061c45acac412d096742981402a177ffb088b0
|
| 3 |
+
size 7776
|