Instructions to use ldhldh/bert_YN_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ldhldh/bert_YN_small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ldhldh/bert_YN_small")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ldhldh/bert_YN_small") model = AutoModelForSequenceClassification.from_pretrained("ldhldh/bert_YN_small") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4
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:a9f0bc61f3ecffac804f0ae2449412fe60340d76a4b5694d474b3687cc7fc9c9
|
| 3 |
+
size 368777128
|