Instructions to use hf-internal-testing/tiny-random-flaubert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-flaubert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-flaubert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-flaubert") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-flaubert") - Notebooks
- Google Colab
- Kaggle
Commit ·
797c382
1
Parent(s): 77e6814
v3
Browse files- pytorch_model.bin +1 -1
- tf_model.h5 +2 -2
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 27360985
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6a0aa31a588c5f24081ba4eb0827229a94d08bcf7e31ad6b7a3b93241e7d1699
|
| 3 |
size 27360985
|
tf_model.h5
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eec72f5128a15d537f1429a9272ee9e1de5cb0d9caadd97f24b48c6b3588798b
|
| 3 |
+
size 276892232
|