Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use JS21/finetuning-sentiment-model-10000-samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JS21/finetuning-sentiment-model-10000-samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JS21/finetuning-sentiment-model-10000-samples")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JS21/finetuning-sentiment-model-10000-samples") model = AutoModelForSequenceClassification.from_pretrained("JS21/finetuning-sentiment-model-10000-samples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
runs/Mar13_23-28-55_28e95fc6d0b3/events.out.tfevents.1678750176.28e95fc6d0b3.934.9
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:cda8d71a9e9c50bfb42e1928f9aad2be6da81031b37719293754d9ac1ced5e19
|
| 3 |
+
size 4362
|
runs/Mar13_23-28-55_28e95fc6d0b3/events.out.tfevents.1678752407.28e95fc6d0b3.934.11
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:49bab905486f42a6ebcbfb90d54b365a4e0887c4e50136739b9d447696ba42c1
|
| 3 |
+
size 409
|