Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Anwaarma/MM03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anwaarma/MM03 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Anwaarma/MM03")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Anwaarma/MM03") model = AutoModelForSequenceClassification.from_pretrained("Anwaarma/MM03", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1000
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 17549312
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d7a0212d1cb5a9dd1269b82cc94b2f65a12b41844cdc108b461ea1824843a729
|
| 3 |
size 17549312
|
runs/Dec24_15-46-43_86f59ffbd25a/events.out.tfevents.1703432806.86f59ffbd25a.1423.21
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:ce35db37d89019e1556c5b812c99f581f7febc4b77d91bcc0af0e3f641d7f0ae
|
| 3 |
+
size 11763
|
runs/Dec24_15-46-43_86f59ffbd25a/events.out.tfevents.1703432806.86f59ffbd25a.1423.22
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:b371cd6ae7f6704306425b06f98657d5d7ee1dc471e8a7ba29f4fb3c156a17c1
|
| 3 |
+
size 11763
|