Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Leuserrrr/finetuning-sentiment-model-amazonbaby5000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Leuserrrr/finetuning-sentiment-model-amazonbaby5000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Leuserrrr/finetuning-sentiment-model-amazonbaby5000")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Leuserrrr/finetuning-sentiment-model-amazonbaby5000") model = AutoModelForSequenceClassification.from_pretrained("Leuserrrr/finetuning-sentiment-model-amazonbaby5000") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
runs/Jun21_18-38-39_nanis-Alienware-m15-R6/events.out.tfevents.1687394321.nanis-Alienware-m15-R6.11442.3
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 sha256:6005fb57e66b567222cef43d28c1ec84d9eb51dc19ba32ad39353dede5318315
|
| 3 |
+
size 6726
|
runs/Jun21_18-38-39_nanis-Alienware-m15-R6/events.out.tfevents.1687394574.nanis-Alienware-m15-R6.11442.4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:803361760934b5875de9b497b0ac3aa6d89875bf952ef904bf9c6bc521ad6f6e
|
| 3 |
+
size 363
|