Instructions to use hf-internal-testing/tiny-random-ClapModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ClapModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-ClapModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-ClapModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-ClapModel") - Notebooks
- Google Colab
- Kaggle
Commit ·
9e703b2
1
Parent(s): a787459
Update tiny models for ClapModel
Browse files- pytorch_model.bin +1 -1
- tokenizer.json +1 -0
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 12872777
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2a5cee72cfc04a49e9d392bfd20fc33a7087588b9c9ba9cccf0b0ad58c6bbdb8
|
| 3 |
size 12872777
|
tokenizer.json
CHANGED
|
@@ -82,6 +82,7 @@
|
|
| 82 |
"continuing_subword_prefix": "",
|
| 83 |
"end_of_word_suffix": "",
|
| 84 |
"fuse_unk": false,
|
|
|
|
| 85 |
"vocab": {
|
| 86 |
"<s>": 0,
|
| 87 |
"<pad>": 1,
|
|
|
|
| 82 |
"continuing_subword_prefix": "",
|
| 83 |
"end_of_word_suffix": "",
|
| 84 |
"fuse_unk": false,
|
| 85 |
+
"byte_fallback": false,
|
| 86 |
"vocab": {
|
| 87 |
"<s>": 0,
|
| 88 |
"<pad>": 1,
|