Instructions to use sominw/redhot_ctx_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sominw/redhot_ctx_encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sominw/redhot_ctx_encoder")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sominw/redhot_ctx_encoder") model = AutoModelForMaskedLM.from_pretrained("sominw/redhot_ctx_encoder") - 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 sha256:9935faf2206ae8d6bb20e0ddb124d76427c2475bbe21369db272cddb758b7e96
|
| 3 |
+
size 442635016
|