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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("JulienRPA/BERT_SPARQL") model = AutoModelForMaskedLM.from_pretrained("JulienRPA/BERT_SPARQL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 436512633
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5bb3da5b39202540ac4f44e9c819eacab6063a1092398c68f7ee3cd9679a8cd7
|
| 3 |
size 436512633
|
runs/Apr27_08-13-09_98bd7713ce50/events.out.tfevents.1682583347.98bd7713ce50.11648.0
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:a6ace71b41ff565365378622063454111d71e15f556c56183aeb342729d112b1
|
| 3 |
+
size 4976
|