Instructions to use pwcd/testvis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pwcd/testvis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pwcd/testvis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pwcd/testvis") model = AutoModelForMaskedLM.from_pretrained("pwcd/testvis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload twitch_uniquev2_base_1mill_epoch_3.pth
Browse files
twitch_uniquev2_base_1mill_epoch_3.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5fc8a04f33b208c05fa4937c823084ac6feed4d58c7291ea8b6afe3dc40b2375
|
| 3 |
+
size 498194322
|