Instructions to use aloxatel/QHR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aloxatel/QHR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aloxatel/QHR")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aloxatel/QHR") model = AutoModelForSequenceClassification.from_pretrained("aloxatel/QHR") - Notebooks
- Google Colab
- Kaggle
Commit ·
1720186
1
Parent(s): a1234f8
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d5dfd3ac2b997989e1afb4bf7db595342a8e0925275bb18a9483e91c618452c6
|
| 3 |
+
size 1421461227
|