Instructions to use Neil96/mymodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neil96/mymodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Neil96/mymodel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Neil96/mymodel") model = AutoModelForSequenceClassification.from_pretrained("Neil96/mymodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 331490685
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:85ab7625b4e24e11dd9f5943ce62ee34ddb2043478cfaaec2bbb6ee6d4052645
|
| 3 |
size 331490685
|
runs/Mar27_16-40-11_d17ba78f6fde/events.out.tfevents.1679935773.d17ba78f6fde.252.2
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:cfb76d2d7457b6b6d2d80968340164bd7da4b161bc6d2d6a0fd3fa1c224a7479
|
| 3 |
+
size 9990
|