Instructions to use HarshitaDiddee/AmericasNLP_Bribri with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HarshitaDiddee/AmericasNLP_Bribri with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="HarshitaDiddee/AmericasNLP_Bribri")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("HarshitaDiddee/AmericasNLP_Bribri") model = AutoModelForCTC.from_pretrained("HarshitaDiddee/AmericasNLP_Bribri", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
e89a146
1
Parent(s): 075e9ef
Upload pytorch_model (14).bin
Browse files- pytorch_model (14).bin +3 -0
pytorch_model (14).bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d5433ce52480679f76bf3e1b1ffc0be5a257ba6e93be51bd0d06c828ed0e23a7
|
| 3 |
+
size 1262107825
|