Instructions to use tyavika/Distilbert-CNN256LSTM128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tyavika/Distilbert-CNN256LSTM128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="tyavika/Distilbert-CNN256LSTM128")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("tyavika/Distilbert-CNN256LSTM128") model = AutoModelForQuestionAnswering.from_pretrained("tyavika/Distilbert-CNN256LSTM128") - 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:b0754338b536a23ffdf8e274f7e738273ec3fae62bc634f6f6a3681c697c83a2
|
| 3 |
+
size 272571800
|