Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
distilbert
text-embeddings-inference
Instructions to use JoeJYu/finetuning-sentiment-model-3000-samples-Task2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoeJYu/finetuning-sentiment-model-3000-samples-Task2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JoeJYu/finetuning-sentiment-model-3000-samples-Task2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JoeJYu/finetuning-sentiment-model-3000-samples-Task2") model = AutoModelForSequenceClassification.from_pretrained("JoeJYu/finetuning-sentiment-model-3000-samples-Task2") - 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 sha256:45862243e077678972d05953dedb893683092bcd8d375134a3e1d4aee264251d
|
| 3 |
+
size 267838720
|