Instructions to use HyoungGeun/TAPAS_Capstone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HyoungGeun/TAPAS_Capstone with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="HyoungGeun/TAPAS_Capstone")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("HyoungGeun/TAPAS_Capstone") model = AutoModelForTableQuestionAnswering.from_pretrained("HyoungGeun/TAPAS_Capstone", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:44e908b1f6da369f625de96da2f5522b72d0b3917731c76d90314c2802d269e8
|
| 3 |
+
size 442718208
|