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
Training in progress, step 1000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 328519925
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b52ab3c0e704f7ad3dc330ce609018976f87ff32ccb4d731562535faf32e6070
|
| 3 |
size 328519925
|
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 sha256:824cd9bde332ac1feefafb13c8b242ecc6b6dbfd6cba745d87a6ff34d5627a6f
|
| 3 |
+
size 5192
|