Instructions to use Akash24/facility_maint_albert_model_grouped1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Akash24/facility_maint_albert_model_grouped1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Akash24/facility_maint_albert_model_grouped1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Akash24/facility_maint_albert_model_grouped1") model = AutoModelForSequenceClassification.from_pretrained("Akash24/facility_maint_albert_model_grouped1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 9
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 46762368
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7cc3e02aa21a910de50702b8c9fe263888555de6f0c62fb909c9766a1c69a113
|
| 3 |
size 46762368
|
runs/Nov18_10-02-52_9933ebdffc7c/events.out.tfevents.1700301790.9933ebdffc7c.817.0
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 sha256:1a982aad8fa842ce93a7def1ea776dcf54ecc4208673674077af12e026c3ba4b
|
| 3 |
+
size 8445
|