Fill-Mask
Transformers
PyTorch
Safetensors
English
bert
climate-change
domain-adaptation
masked-language-modeling
scientific-nlp
transformer
BERT
SciBERT
Eval Results (legacy)
Instructions to use P0L3/cliscibert_scivocab_uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use P0L3/cliscibert_scivocab_uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="P0L3/cliscibert_scivocab_uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("P0L3/cliscibert_scivocab_uncased") model = AutoModelForMaskedLM.from_pretrained("P0L3/cliscibert_scivocab_uncased") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (6805d09ebeefc16d12c2cca368f35160129466e5)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1f71212cf9aef867933b3a148ddb2ba64ea7cf7f100c402aa38789c19bed38e0
|
| 3 |
+
size 439828192
|