Instructions to use Chega/distill-scibert_scivocab_uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chega/distill-scibert_scivocab_uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Chega/distill-scibert_scivocab_uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("Chega/distill-scibert_scivocab_uncased") model = AutoModelForPreTraining.from_pretrained("Chega/distill-scibert_scivocab_uncased") - 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:b6d1972900eec689bbcf9ff6e4c5c2910201229206aa4d9ee5af5fcf1349ed87
|
| 3 |
+
size 49568224
|