Instructions to use spoiled/roberta-large-neg-tags with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spoiled/roberta-large-neg-tags with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="spoiled/roberta-large-neg-tags")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("spoiled/roberta-large-neg-tags") model = AutoModelForTokenClassification.from_pretrained("spoiled/roberta-large-neg-tags", device_map="auto") - 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 sha256:238e7a2ceddc108d3541a1850f23f8f2511350b1c277fb8fb9871ffc1453b8cc
|
| 3 |
+
size 1417301000
|