Text Classification
Transformers
TensorBoard
Safetensors
roberta
zero-shot
text-embeddings-inference
Instructions to use adriansanz/test5_balanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adriansanz/test5_balanced with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adriansanz/test5_balanced")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adriansanz/test5_balanced") model = AutoModelForSequenceClassification.from_pretrained("adriansanz/test5_balanced", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 7
Browse files
logs/events.out.tfevents.1711456810.08043a11185c.167.3
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 sha256:8781e8d814e6186211a1533cc42b37597fd0aeadf314f5a4997ace7a8a443233
|
| 3 |
+
size 16336
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 498649748
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ee20d22b791fd3535e60492b65dda5f302d3037c50f17de2e7a5a150005c384b
|
| 3 |
size 498649748
|