Instructions to use ghadeermobasher/BC4_Modified-scibert_scivocab_uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/BC4_Modified-scibert_scivocab_uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/BC4_Modified-scibert_scivocab_uncased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/BC4_Modified-scibert_scivocab_uncased") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/BC4_Modified-scibert_scivocab_uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
3af9dfa
1
Parent(s): b469a1d
Training in progress, step 193500
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 437407601
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:77a95d480e9432fbc58c4078fef00918536386b913f524f36c774f6efb3006e3
|
| 3 |
size 437407601
|
runs/Feb21_21-46-40_cascade-057.cluster/events.out.tfevents.1645476919.cascade-057.cluster.23173.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3cb89fa70adcfe72922a8a44d4212edf698b2ecaca20357b36ef2634b7f9f3d9
|
| 3 |
+
size 80550
|