Instructions to use Narshion/mWACH_mBERT_System with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Narshion/mWACH_mBERT_System with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Narshion/mWACH_mBERT_System")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Narshion/mWACH_mBERT_System") model = AutoModelForSequenceClassification.from_pretrained("Narshion/mWACH_mBERT_System", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload training_args.bin with git-lfs
Browse files- training_args.bin +3 -0
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d5b3cbbc757445ba35d9a1d204f7a93c19cc2f3a38968163a3392b83ec929616
|
| 3 |
+
size 2863
|