Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use ALEXISLG/Modelo2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ALEXISLG/Modelo2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ALEXISLG/Modelo2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ALEXISLG/Modelo2") model = AutoModelForSequenceClassification.from_pretrained("ALEXISLG/Modelo2") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
runs/Sep25_20-50-44_de307469ec0a/events.out.tfevents.1695675083.de307469ec0a.177.0
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 sha256:1ec5791d8abfd7e98a13b94e2daee4a302283dbefab6198e6ba2345a73c2f90e
|
| 3 |
+
size 5546
|