Instructions to use flax-community/roberta-base-als-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/roberta-base-als-demo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="flax-community/roberta-base-als-demo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("flax-community/roberta-base-als-demo") model = AutoModelForMaskedLM.from_pretrained("flax-community/roberta-base-als-demo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Patrick von Platen commited on
Commit ·
9deb330
1
Parent(s): dd749c4
Saving weights and logs of step 8
Browse files
events.out.tfevents.1625595317.t1v-n-71556209-w-0.24556.3.v2
ADDED
|
Binary file (40 Bytes). View file
|
|
|
flax_model.msgpack
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 498796983
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7b4812d4f42c82ee8a963f90fe45ce25a75b0283d71e093ff578ba3c65de9d6e
|
| 3 |
size 498796983
|