Instructions to use Jehadoumer/task2a-preprocessed-twitter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jehadoumer/task2a-preprocessed-twitter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jehadoumer/task2a-preprocessed-twitter")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jehadoumer/task2a-preprocessed-twitter") model = AutoModelForSequenceClassification.from_pretrained("Jehadoumer/task2a-preprocessed-twitter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
dbe0889
1
Parent(s): 953c4bf
Training in progress, epoch 3
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 540847921
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2e64872c1ca557653ad38190dd5689be4006c52de6b823dc36922db9852a7772
|
| 3 |
size 540847921
|
runs/Aug13_11-17-38_24ab7b88dc52/events.out.tfevents.1691925464.24ab7b88dc52.184.0
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:d5b0c30c8a1ccd5f58e0f1cbd4d864ad7df26b563d90eb703043c4c794118a94
|
| 3 |
+
size 6220
|