Instructions to use simonmun/COHA1940s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1940s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1940s")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1940s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1940s", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
bd10ea7
1
Parent(s): 00a2cdb
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d7e5385c667377386604348a70d6d81519813a3e06e4ad5bff7c43c740535818
|
| 3 |
+
size 334021505
|