Instructions to use HPLT/hplt_bert_base_sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_sv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_sv", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_sv", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload model.safetensors
Browse files- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b64fdb4a9c599373b48e271fb529b7375f95b1f62bdf57f8b5f7730a1b5f17b9
|
| 3 |
+
size 625784856
|