Feature Extraction
Transformers
TensorBoard
Safetensors
English
captionbert_v2
sentence-similarity
consensus-distillation
geometric-deep-learning
amoe
custom_code
Instructions to use AbstractPhil/captionbert-8192-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AbstractPhil/captionbert-8192-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AbstractPhil/captionbert-8192-v2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AbstractPhil/captionbert-8192-v2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
step 3327 (checkpoints)
Browse files- checkpoints/best_model.pt +3 -0
- checkpoints/best_state.pt +3 -0
- checkpoints/model_s3327.pt +3 -0
- checkpoints/state.pt +3 -0
checkpoints/best_model.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:508a19014f19e3852f42711141622265c8ada36765701efe30cacb660e930491
|
| 3 |
+
size 233292267
|
checkpoints/best_state.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4dc60371122d44c2f023d7a732c186dfae6d1a55c5fcbc1b518a5258148c991d
|
| 3 |
+
size 699910330
|
checkpoints/model_s3327.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2c9a3c8ab75e6727afd2d54853cc102161ce2568a0c3d9bcc43794b6abaf65b7
|
| 3 |
+
size 233292427
|
checkpoints/state.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7efc09aa03bfb0c8c910c9897a4bcc456457f2bbde0af5c478caf6804ce7ea47
|
| 3 |
+
size 699877583
|