Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use KoenBronstring/finetuning-sentiment-model-3000-samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoenBronstring/finetuning-sentiment-model-3000-samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KoenBronstring/finetuning-sentiment-model-3000-samples")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KoenBronstring/finetuning-sentiment-model-3000-samples") model = AutoModelForSequenceClassification.from_pretrained("KoenBronstring/finetuning-sentiment-model-3000-samples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
3720b0e
1
Parent(s): 5692a4c
End of training
Browse files
runs/May04_14-47-55_KPB/events.out.tfevents.1651668481.KPB.14496.0
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 sha256:51ea4883a05919ccd7d32a5c9a6db12f849b3c6f25f9be9e7b107323c54cc92a
|
| 3 |
+
size 3633
|
runs/May04_14-47-55_KPB/events.out.tfevents.1651686820.KPB.14496.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5485ce3e0eaa393100ccfd9e1d6994e1e1a126d92e38976ce03ea386a5fc5e6d
|
| 3 |
+
size 409
|