Instructions to use uaritm/datapars-base-202 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uaritm/datapars-base-202 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uaritm/datapars-base-202") model = AutoModelForSeq2SeqLM.from_pretrained("uaritm/datapars-base-202") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin with git-lfs
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f7c03670d0a064d3b908bcd74dba2095a77605019c34a4a049141b6b5df495e5
|
| 3 |
+
size 977363917
|