Instructions to use marlex7/trash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marlex7/trash with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marlex7/trash")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marlex7/trash") model = AutoModelForSequenceClassification.from_pretrained("marlex7/trash", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
logs/events.out.tfevents.1701624745.cf9a13fe7397.168.3
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 sha256:9e21c726656b1a8786984c6c77209c7e484f801a31b0b786eb4753be722747d0
|
| 3 |
+
size 5516
|
logs/events.out.tfevents.1701625155.cf9a13fe7397.168.4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3d5ce04541cc8c67f238992661a649aedadca55e53b4f7a6226d30eaf222bff9
|
| 3 |
+
size 4682
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 44692608
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d71d03c42ac21a83d5b9cf3be058af13a440a6dfcb338553e78e92e442e1a6b3
|
| 3 |
size 44692608
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4600
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7ed8b784f04e9ed2b505215d97cd05f1697f6fa57ffc6efdf420daed452f8723
|
| 3 |
size 4600
|