Instructions to use keles/isr_pal_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keles/isr_pal_final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="keles/isr_pal_final")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("keles/isr_pal_final") model = AutoModelForSequenceClassification.from_pretrained("keles/isr_pal_final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 442545269
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1dc82f0fe6578f7e1aef929ab25c5c44d8efd12a0140556a352a32ae1705da3e
|
| 3 |
size 442545269
|
runs/Jun03_18-22-10_c3bfd72ee5ff/events.out.tfevents.1685816545.c3bfd72ee5ff.543.2
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 sha256:466e16b2527e281c551cc94c8df40284df9a0ae99482be1203f8bc9d3a34593e
|
| 3 |
+
size 41994
|