Text Classification
Transformers
Safetensors
English
qwen3
text-generation-inference
unsloth
trl
dpo
text-embeddings-inference
Instructions to use fh1628/qwen-dpo-m1-data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fh1628/qwen-dpo-m1-data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fh1628/qwen-dpo-m1-data")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fh1628/qwen-dpo-m1-data") model = AutoModelForSequenceClassification.from_pretrained("fh1628/qwen-dpo-m1-data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Upload Qwen3ForSequenceClassification
Browse files- config.json +2 -2
- model.safetensors +2 -2
config.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"architectures": [
|
| 3 |
-
"
|
| 4 |
],
|
| 5 |
"attention_bias": false,
|
| 6 |
"attention_dropout": 0.0,
|
|
@@ -22,7 +22,7 @@
|
|
| 22 |
"rope_theta": 1000000,
|
| 23 |
"sliding_window": null,
|
| 24 |
"tie_word_embeddings": true,
|
| 25 |
-
"torch_dtype": "
|
| 26 |
"transformers_version": "4.51.3",
|
| 27 |
"unsloth_fixed": true,
|
| 28 |
"unsloth_version": "2025.5.7",
|
|
|
|
| 1 |
{
|
| 2 |
"architectures": [
|
| 3 |
+
"Qwen3ForSequenceClassification"
|
| 4 |
],
|
| 5 |
"attention_bias": false,
|
| 6 |
"attention_dropout": 0.0,
|
|
|
|
| 22 |
"rope_theta": 1000000,
|
| 23 |
"sliding_window": null,
|
| 24 |
"tie_word_embeddings": true,
|
| 25 |
+
"torch_dtype": "float32",
|
| 26 |
"transformers_version": "4.51.3",
|
| 27 |
"unsloth_fixed": true,
|
| 28 |
"unsloth_version": "2025.5.7",
|
model.safetensors
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 sha256:14165fb4668123be50893c04b7a6177a422c887b66a942e6584231c125e79729
|
| 3 |
+
size 2384243248
|