Instructions to use huawei-noah/EntityCS-39-MLM-xlmr-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huawei-noah/EntityCS-39-MLM-xlmr-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="huawei-noah/EntityCS-39-MLM-xlmr-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("huawei-noah/EntityCS-39-MLM-xlmr-base") model = AutoModelForMaskedLM.from_pretrained("huawei-noah/EntityCS-39-MLM-xlmr-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:227332313502e1840275258804a1ed37461a7ea13b2f44fb3305e0f208a7d4ce
|
| 3 |
+
size 1113209296
|