Instructions to use abhilash1910/financial_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhilash1910/financial_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="abhilash1910/financial_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("abhilash1910/financial_roberta") model = AutoModelForMaskedLM.from_pretrained("abhilash1910/financial_roberta") - Notebooks
- Google Colab
- Kaggle
Commit ·
3ef8920
1
Parent(s): 23c908f
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a9fd170d366e63640b5320d74ba10d8d0371c3d5461bf5dfa7f1877ffd44306b
|
| 3 |
+
size 346325505
|