Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use lengocquangLAB/Taste-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lengocquangLAB/Taste-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lengocquangLAB/Taste-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lengocquangLAB/Taste-classifier") model = AutoModelForSequenceClassification.from_pretrained("lengocquangLAB/Taste-classifier") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 6500
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 437958648
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:761979f7af94e06f2fdec258e3abc2843e4fe58afe47d52217a885445db195d8
|
| 3 |
size 437958648
|
runs/Apr05_14-40-46_965dfad45daa/events.out.tfevents.1712328054.965dfad45daa.34.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a7a5cd8639d68acd3419cdd6760a49e469dada31187c9ab49af7b184a6d17554
|
| 3 |
+
size 8162
|