Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use elopezlopez/distilbert-base-uncased_fold_5_binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use elopezlopez/distilbert-base-uncased_fold_5_binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="elopezlopez/distilbert-base-uncased_fold_5_binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("elopezlopez/distilbert-base-uncased_fold_5_binary") model = AutoModelForSequenceClassification.from_pretrained("elopezlopez/distilbert-base-uncased_fold_5_binary") - Notebooks
- Google Colab
- Kaggle
Commit ·
3475258
1
Parent(s): 21d6d23
End of training
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 267854321
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:25942b398c4e0f04bfd1fcbf2ddd3f54d4ad5bef20bc8b73b17548048d49b8a2
|
| 3 |
size 267854321
|
runs/Jul31_22-04-17_7096e50eac86/events.out.tfevents.1659305064.7096e50eac86.97.15
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 sha256:0a2e6e5da6d2c20740e44e8446c3dee273d421b6bfa3bceac7ea7d2f2b2a9d3c
|
| 3 |
+
size 14070
|
runs/Jul31_22-04-17_7096e50eac86/events.out.tfevents.1659305396.7096e50eac86.97.17
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5587243f462091f90c9c8449ff9e6579119c329fe197dbfe64e1de7c51eb32d1
|
| 3 |
+
size 357
|