modelId stringlengths 4 111 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringlengths 5 30 ⌀ | author stringlengths 2 34 ⌀ | config null | securityStatus null | id stringlengths 4 111 | likes int64 0 9.53k | downloads int64 2 73.6M | library_name stringlengths 2 84 ⌀ | created timestamp[us] | card stringlengths 101 901k | card_len int64 101 901k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
LoneStriker/SynthIA-70B-v1.5-3.0bpw-h6-exl2 | 2023-10-26T00:53:43.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/SynthIA-70B-v1.5-3.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-26T00:51:43 | ---
license: llama2
---
## Example Usage
### Prompt format:
```
SYSTEM: Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation.
USER: How is a rocket launched from the surface of the earth to Low Earth O... | 2,296 | [
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0.0251007080078125,
-0.050872802734375,
-0.04327392578125,
-0.0224761962890625,
... |
syafiqfaray/byt5-base-indocollex-informal-to-formal-wordformation | 2023-10-26T03:20:12.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | syafiqfaray | null | null | syafiqfaray/byt5-base-indocollex-informal-to-formal-wordformation | 0 | 2 | transformers | 2023-10-26T03:18:58 | ---
license: apache-2.0
base_model: google/byt5-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: byt5-base-indocollex-informal-to-formal-wordformation
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probab... | 6,047 | [
[
-0.045196533203125,
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0.0195465087890625,
0.0124053955078125,
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0.043365478515625,
0.0258941650390625,
-0.038299560546875,
-0.049072265625,
-0.04885864... |
kkaung66/meta-chat | 2023-10-26T18:14:40.000Z | [
"transformers",
"llama",
"text-generation",
"generated_from_trainer",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | kkaung66 | null | null | kkaung66/meta-chat | 0 | 2 | transformers | 2023-10-26T06:45:42 | ---
base_model: NousResearch/Llama-2-7b-chat-hf
tags:
- generated_from_trainer
model-index:
- name: meta-chat
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<i... | 1,358 | [
[
-0.0301971435546875,
-0.04510498046875,
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0.0112762451171875,
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0.021240234375,
0.01812744140625,
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0.0... |
dp011/test2 | 2023-10-26T07:37:54.000Z | [
"sentence-transformers",
"pytorch",
"xlm-roberta",
"setfit",
"text-classification",
"arxiv:2209.11055",
"license:apache-2.0",
"region:us"
] | text-classification | dp011 | null | null | dp011/test2 | 0 | 2 | sentence-transformers | 2023-10-26T07:37:06 | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# dp011/test2
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot learning technique t... | 1,511 | [
[
-0.00402069091796875,
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-0.01406097412109375,
-0.01157379150390625,
-0.0028514862060546875,
0.031158447265625,
-0.043121337890625,
-0.01322174072265625,
-0.039... |
Nguyens/bert-finetuned-ner-accelerate | 2023-10-26T08:47:05.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"generated_from_trainer",
"dataset:conll2003",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | Nguyens | null | null | Nguyens/bert-finetuned-ner-accelerate | 0 | 2 | transformers | 2023-10-26T07:39:11 | ---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner-accelerate
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2... | 2,244 | [
[
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-... |
sugiv/Spoonbill-GarudaOtterFlamingoAreFriends-7B-Chat | 2023-10-26T08:47:35.000Z | [
"transformers",
"pytorch",
"flamingo",
"text2text-generation",
"dataset:pufanyi/MIMICIT",
"arxiv:2306.05425",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | sugiv | null | null | sugiv/Spoonbill-GarudaOtterFlamingoAreFriends-7B-Chat | 0 | 2 | transformers | 2023-10-26T08:32:03 | ---
license: mit
datasets:
- pufanyi/MIMICIT
---
Dubbed Spoonbill Garuda version used instruction tuned sugiv/garuda-from-llama2-7B-chat
as languade model. The above said Spoonbill Garuda is also vision-language model which
was also trained on visual instruction datasets (limited from Otter).
- Please refer to licen... | 1,671 | [
[
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0.0187530517578125,
0.044097900390625,
-0.04095458984375,
-0.015899658203125,
-0.025390625,
-... |
che111/spanish_mlm-mix | 2023-10-26T18:18:43.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"generated_from_trainer",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | che111 | null | null | che111/spanish_mlm-mix | 0 | 2 | transformers | 2023-10-26T09:48:26 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: spanish_mlm-mix
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# spanish_mlm-mix
This mode... | 16,841 | [
[
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0.02899169921875,
-0.043182373046875,
-0.04345703125,
-0.03411865234375,
-0.00... |
LoneStriker/lzlv_70b_fp16_hf-5.0bpw-h6-exl2 | 2023-10-26T12:09:42.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:cc-by-nc-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/lzlv_70b_fp16_hf-5.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-26T12:06:48 | ---
license: cc-by-nc-2.0
---
# lzlv_70B
## A Mythomax/MLewd_13B-style merge of selected 70B models
A multi-model merge of several LLaMA2 70B finetunes for roleplaying and creative work. The goal was to create a model that combines creativity with intelligence for an enhanced experience.
Did it work? Probably, ma... | 2,502 | [
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-0.0399169921875,
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-0.035430908203125,
-0.00... |
sainteye/ifoodie-detail-rating-v15 | 2023-10-26T12:36:29.000Z | [
"transformers",
"pytorch",
"tensorboard",
"swin",
"image-classification",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | sainteye | null | null | sainteye/ifoodie-detail-rating-v15 | 0 | 2 | transformers | 2023-10-26T12:36:25 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: ifoodie-detail-rating-v15
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9673202633857727
---
# ifoodie-... | 475 | [
[
-0.01396942138671875,
-0.0248260498046875,
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0.078125,
-0.05279541015625,
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0.00373077392578125,
-0.0223236083984375,
0.04559326171875,
0.0275421142578125,
-0.046234130859375,
-0.0299530029296875,
-0.046875,
0.028686523... |
joseluhf11/phi-1_5-finetuned-dxrare_symptom_extractor_v1 | 2023-10-26T13:13:15.000Z | [
"transformers",
"pytorch",
"mixformer-sequential",
"text-generation",
"generated_from_trainer",
"custom_code",
"license:other",
"region:us"
] | text-generation | joseluhf11 | null | null | joseluhf11/phi-1_5-finetuned-dxrare_symptom_extractor_v1 | 0 | 2 | transformers | 2023-10-26T12:56:39 | ---
license: other
base_model: microsoft/phi-1_5
tags:
- generated_from_trainer
model-index:
- name: phi-1_5-finetuned-dxrare_symptom_extractor_v1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete i... | 1,116 | [
[
-0.022003173828125,
-0.038909912109375,
0.01220703125,
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0.0116424560546875,
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0.02215576171875,
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-0.039093017578125,
-0.050323486328125,
0.0068... |
igig98/ppo_ | 2023-10-26T13:22:03.000Z | [
"peft",
"region:us"
] | null | igig98 | null | null | igig98/ppo_ | 0 | 2 | peft | 2023-10-26T13:21:32 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weig... | 464 | [
[
-0.045074462890625,
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-0.033355712890625,
... |
joseluhf11/disease_encoder_v3 | 2023-10-26T14:00:32.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | sentence-similarity | joseluhf11 | null | null | joseluhf11/disease_encoder_v3 | 0 | 2 | sentence-transformers | 2023-10-26T13:55:36 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste... | 3,789 | [
[
-0.0193634033203125,
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-0.050079345703125,
... |
DanZter/finetuning-sentiment-model-3000-samples | 2023-10-26T14:57:45.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | DanZter | null | null | DanZter/finetuning-sentiment-model-3000-samples | 0 | 2 | transformers | 2023-10-26T14:10:51 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pro... | 1,249 | [
[
-0.046844482421875,
-0.049774169921875,
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... |
MFedor/distilbert-base-uncased-finetuned-cola | 2023-10-26T15:18:13.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | MFedor | null | null | MFedor/distilbert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-10-26T15:04:02 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
... | 2,078 | [
[
-0.022003173828125,
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0.01031494140625,
-0.046630859375,
-0.036956787109375,
-0.06207275390625,
... |
sniperyyc/NetFID-PCAP-IP-Header | 2023-10-26T17:41:08.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | sniperyyc | null | null | sniperyyc/NetFID-PCAP-IP-Header | 0 | 2 | transformers | 2023-10-26T15:13:50 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: NetFID-PCAP-IP-Header
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# NetFID-PCAP-I... | 1,483 | [
[
-0.0367431640625,
-0.03704833984375,
-0.0011167526245117188,
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0.033477783203125,
-0.041351318359375,
-0.0235443115234375,
-0.048370361328125,
... |
Nguyens/fine-tuning-distilbert | 2023-10-28T04:31:27.000Z | [
"transformers",
"pytorch",
"distilbert",
"fill-mask",
"generated_from_trainer",
"dataset:imdb",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | Nguyens | null | null | Nguyens/fine-tuning-distilbert | 0 | 2 | transformers | 2023-10-26T15:31:31 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: fine-tuning-distilbert
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and compl... | 1,433 | [
[
-0.043701171875,
-0.044219970703125,
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0.023406982421875,
-0.0626220703125,
-0.035858154296875,
-0.0645751953125,
... |
s-man2099/gpl-1500 | 2023-10-26T17:21:21.000Z | [
"transformers",
"tf",
"pegasus",
"text2text-generation",
"generated_from_keras_callback",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | s-man2099 | null | null | s-man2099/gpl-1500 | 0 | 2 | transformers | 2023-10-26T16:18:04 | ---
base_model: google/pegasus-large
tags:
- generated_from_keras_callback
model-index:
- name: s-man2099/gpl-1500
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# s-... | 1,887 | [
[
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0.01513671875,
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-0.01... |
kaitchup/Llama-2-7b-mt-French-to-English | 2023-11-02T17:31:43.000Z | [
"peft",
"translation",
"en",
"fr",
"dataset:kaitchup/opus-French-to-English",
"license:mit",
"region:us"
] | translation | kaitchup | null | null | kaitchup/Llama-2-7b-mt-French-to-English | 0 | 2 | peft | 2023-10-26T16:50:23 | ---
library_name: peft
license: mit
language:
- en
- fr
datasets:
- kaitchup/opus-French-to-English
tags:
- translation
---
# Model Card for Model ID
This is an adapter for Meta's Llama 2 7B fine-tuned for translating French text into English.
## Model Details
### Model Description
<!-- Provide a longer summary of ... | 2,071 | [
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0.0... |
jessica-ecosia/distilbert-base-uncased-finetuned-squad | 2023-10-26T17:10:07.000Z | [
"transformers",
"pytorch",
"distilbert",
"question-answering",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | jessica-ecosia | null | null | jessica-ecosia/distilbert-base-uncased-finetuned-squad | 0 | 2 | transformers | 2023-10-26T17:05:09 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and compl... | 1,450 | [
[
-0.032958984375,
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0.0021266937255859375,
0.020263671875,
-0.068359375,
-0.039031982421875,
-0.053558349609375,
... |
kou552/distilbert-base-uncased-finetuned-emotions | 2023-10-26T18:15:54.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | kou552 | null | null | kou552/distilbert-base-uncased-finetuned-emotions | 0 | 2 | transformers | 2023-10-26T17:59:22 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotions
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
... | 1,886 | [
[
-0.03912353515625,
-0.040740966796875,
0.01488494873046875,
0.0212249755859375,
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0.006984710693359375,
0.00821685791015625,
-0.05804443359375,
-0.051910400390625,
-0.058929443359375... |
thrunlab/t5-base_cola_moe_ex38_epochs-3_decoder_all_sparsity20_mare_mlp | 2023-10-26T19:55:40.000Z | [
"transformers",
"pytorch",
"t5",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-classification | thrunlab | null | null | thrunlab/t5-base_cola_moe_ex38_epochs-3_decoder_all_sparsity20_mare_mlp | 0 | 2 | transformers | 2023-10-26T19:46:51 | ---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: t5-base_cola_moe_ex38_epochs-3_decoder_all_sparsity20_mare_mlp
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
typ... | 2,719 | [
[
-0.03369140625,
-0.039825439453125,
0.0028514862060546875,
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0.02392578125,
0.0164947509765625,
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-0.053070068359375,
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... |
mpalaval/assignment2_attempt7 | 2023-10-26T20:32:13.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | mpalaval | null | null | mpalaval/assignment2_attempt7 | 0 | 2 | transformers | 2023-10-26T20:22:34 | ---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
model-index:
- name: assignment2_attempt7
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -... | 1,011 | [
[
-0.0262298583984375,
-0.032135009765625,
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0.01157379150390625,
-0.0297088623046875,
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-0.004177093505859375,
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0.005218505859375,
0.0281524658203125,
-0.04986572265625,
-0.0517578125,
-0.046142578125,
... |
PranavY2k/my_distilbert_model | 2023-10-26T21:18:59.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:rotten_tomatoes",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | PranavY2k | null | null | PranavY2k/my_distilbert_model | 0 | 2 | transformers | 2023-10-26T21:09:02 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- rotten_tomatoes
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: my_distilbert_model
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: rott... | 2,255 | [
[
-0.031982421875,
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... |
SalmonAI123/Bestclean-ViMrclarge-TFIDFPNS-ver1 | 2023-10-26T22:39:45.000Z | [
"transformers",
"pytorch",
"roberta",
"question-answering",
"generated_from_trainer",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | SalmonAI123 | null | null | SalmonAI123/Bestclean-ViMrclarge-TFIDFPNS-ver1 | 0 | 2 | transformers | 2023-10-26T22:22:58 | ---
license: cc-by-nc-4.0
base_model: nguyenvulebinh/vi-mrc-large
tags:
- generated_from_trainer
model-index:
- name: Bestclean-ViMrclarge-TFIDFPNS-ver1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and comp... | 1,392 | [
[
-0.0278778076171875,
-0.034576416015625,
0.02392578125,
-0.0096588134765625,
-0.039642333984375,
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-0.007663726806640625,
0.0152130126953125,
0.037261962890625,
-0.046630859375,
-0.05596923828125,
-0.047760009765625,
0... |
akjindal53244/temp-peft-model | 2023-10-26T23:14:11.000Z | [
"peft",
"region:us"
] | null | akjindal53244 | null | null | akjindal53244/temp-peft-model | 1 | 2 | peft | 2023-10-26T22:57:19 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weig... | 469 | [
[
-0.04486083984375,
-0.056640625,
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0.01161956787109375,
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0.03179931640625,
-0.04150390625,
-0.0085906982421875,
-0.034027099609375,
0.01007080... |
mnazari/wav2vec2-large-mms-1b-urmi-christian-nointonations | 2023-10-27T10:33:07.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:nena_speech_1_0_test",
"license:cc-by-nc-4.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | mnazari | null | null | mnazari/wav2vec2-large-mms-1b-urmi-christian-nointonations | 0 | 2 | transformers | 2023-10-26T23:07:19 | ---
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- generated_from_trainer
datasets:
- nena_speech_1_0_test
metrics:
- wer
model-index:
- name: wav2vec2-large-mms-1b-urmi-christian-nointonations
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
data... | 4,118 | [
[
-0.042633056640625,
-0.037353515625,
0.01145172119140625,
0.0123291015625,
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0.002166748046875,
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0.03839111328125,
0.019195556640625,
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-0.0501708984375,
-0.0462646484375,
-0.01... |
riturralde/my_awesome_keywords_model | 2023-10-27T00:34:54.000Z | [
"transformers",
"pytorch",
"mt5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | riturralde | null | null | riturralde/my_awesome_keywords_model | 0 | 2 | transformers | 2023-10-27T00:21:53 | ---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_awesome_keywords_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete ... | 1,832 | [
[
-0.036163330078125,
-0.042999267578125,
0.01898193359375,
0.00414276123046875,
-0.0236968994140625,
-0.0209503173828125,
-0.0047760009765625,
-0.0107269287109375,
0.0204010009765625,
0.0300445556640625,
-0.05682373046875,
-0.055633544921875,
-0.053558349609375,
... |
syed789/t5-base-medium-title-generation | 2023-10-27T19:42:11.000Z | [
"transformers",
"pytorch",
"tf",
"t5",
"text2text-generation",
"generated_from_keras_callback",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | syed789 | null | null | syed789/t5-base-medium-title-generation | 0 | 2 | transformers | 2023-10-27T02:12:11 | ---
tags:
- generated_from_keras_callback
model-index:
- name: t5-base-medium-title-generation
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# t5-base-medium-title-g... | 898 | [
[
-0.036712646484375,
-0.0318603515625,
0.0307769775390625,
-0.0016689300537109375,
-0.0426025390625,
-0.02716064453125,
-0.0007238388061523438,
-0.0194549560546875,
-0.00341033935546875,
0.03582763671875,
-0.050567626953125,
-0.04571533203125,
-0.06549072265625,
... |
paragdakle/mistral-7b-cnndaily-small-lw-lora | 2023-10-27T03:03:30.000Z | [
"peft",
"region:us"
] | null | paragdakle | null | null | paragdakle/mistral-7b-cnndaily-small-lw-lora | 0 | 2 | peft | 2023-10-27T02:59:01 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weig... | 853 | [
[
-0.04931640625,
-0.054595947265625,
0.0252227783203125,
0.0362548828125,
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0.00658416748046875,
-0.0233154296875,
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0.026153564453125,
-0.048980712890625,
-0.01727294921875,
-0.036376953125,
0.01255035... |
NAGAsai95/test | 2023-10-27T07:05:19.000Z | [
"diffusers",
"text-to-image",
"autotrain",
"region:us"
] | text-to-image | NAGAsai95 | null | null | NAGAsai95/test | 0 | 2 | diffusers | 2023-10-27T04:21:09 |
---
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: photo of bhuvan
tags:
- text-to-image
- diffusers
- autotrain
inference: true
---
# DreamBooth trained by AutoTrain
Text encoder was not trained.
| 228 | [
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-0.002956390380859375,
-0.0597534179... |
spyobird/cs4248_albert-base-v2_bilstm_qa_1 | 2023-10-27T09:32:09.000Z | [
"transformers",
"pytorch",
"albert",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | spyobird | null | null | spyobird/cs4248_albert-base-v2_bilstm_qa_1 | 0 | 2 | transformers | 2023-10-27T08:05:53 | ---
license: apache-2.0
base_model: albert-base-v2
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: cs4248_albert-base-v2_bilstm_qa_1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and co... | 1,102 | [
[
-0.032562255859375,
-0.037384033203125,
0.0060882568359375,
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0.0011396408081054688,
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0.0021800994873046875,
0.0287322998046875,
-0.060272216796875,
-0.0360107421875,
-0.04122924804... |
gavulsim/distilbert_finetuned_yahoo_answers_topics | 2023-10-27T09:20:49.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:yahoo_answers_topics",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | gavulsim | null | null | gavulsim/distilbert_finetuned_yahoo_answers_topics | 0 | 2 | transformers | 2023-10-27T08:19:50 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- yahoo_answers_topics
metrics:
- accuracy
model-index:
- name: deberta_finetuned_yahoo_answers_topics
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: yahoo_... | 2,101 | [
[
-0.037750244140625,
-0.05487060546875,
0.012420654296875,
0.00907135009765625,
-0.0230255126953125,
-0.0233001708984375,
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0.0097503662109375,
0.0188140869140625,
-0.0552978515625,
-0.048583984375,
-0.056640625,
-0.... |
MakAttack/653b71eb282fff95c3f30975 | 2023-10-27T08:54:17.000Z | [
"diffusers",
"tensorboard",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"license:openrail++",
"region:us"
] | text-to-image | MakAttack | null | null | MakAttack/653b71eb282fff95c3f30975 | 0 | 2 | diffusers | 2023-10-27T08:21:08 |
---
license: openrail++
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: a photo of sks dog
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA DreamBooth - MakAttack/653b71eb282fff95c3f30975
These are LoRA adaption weight... | 630 | [
[
-0.015899658203125,
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0.017333984375,
0.0242767333984375,
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0.02392578125,
-0.016082763671875,
0.06317138671875,
0.0296173095703125,
-0.02923583984375,
-0.0276336669921875,
-0.044189453125,
-0.012588500... |
MakAttack/653b6dc287d6147063c526f6 | 2023-10-27T09:26:59.000Z | [
"diffusers",
"tensorboard",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"license:openrail++",
"region:us"
] | text-to-image | MakAttack | null | null | MakAttack/653b6dc287d6147063c526f6 | 0 | 2 | diffusers | 2023-10-27T08:54:32 |
---
license: openrail++
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: a photo of sks dog
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA DreamBooth - MakAttack/653b6dc287d6147063c526f6
These are LoRA adaption weight... | 630 | [
[
-0.015716552734375,
-0.01776123046875,
0.0178985595703125,
0.024871826171875,
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0.0244903564453125,
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0.063232421875,
0.028656005859375,
-0.0295257568359375,
-0.0273590087890625,
-0.043914794921875,
-0... |
s-man2099/gpl-2000 | 2023-10-27T10:19:41.000Z | [
"transformers",
"tf",
"pegasus",
"text2text-generation",
"generated_from_keras_callback",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | s-man2099 | null | null | s-man2099/gpl-2000 | 0 | 2 | transformers | 2023-10-27T08:57:18 | ---
base_model: google/pegasus-large
tags:
- generated_from_keras_callback
model-index:
- name: s-man2099/gpl-2000
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# s-... | 1,887 | [
[
-0.04925537109375,
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0.02593994140625,
-0.0031890869140625,
-0.03240966796875,
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-0.00583648681640625,
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0.0142822265625,
0.01551055908203125,
-0.057525634765625,
-0.038848876953125,
-0.058441162109375,
-0.... |
budecosystem/sql-millennials-7b | 2023-10-27T15:48:33.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"en",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | budecosystem | null | null | budecosystem/sql-millennials-7b | 0 | 2 | transformers | 2023-10-27T10:06:40 | ---
license: apache-2.0
language:
- en
library_name: transformers
---
## Introducing Text-to-SQL Translation Model - Millennials. 🎉
Welcome to our Text-to-SQL Translation Model repository! Our model is specifically fine-tuned for text-to-SQL tasks, aiming to revolutionize how systems understand and translate natural... | 6,240 | [
[
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0.05303955078125,
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-0.041900634765625,
-0.027008056640625,
0.01... |
minh21/XLNet-Toxic-Comment | 2023-10-27T11:25:35.000Z | [
"transformers",
"pytorch",
"xlnet",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | minh21 | null | null | minh21/XLNet-Toxic-Comment | 0 | 2 | transformers | 2023-10-27T11:25:16 | ---
license: mit
base_model: xlnet-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: XLNet-Toxic-Comment
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofre... | 1,842 | [
[
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-0.049072265625,
... |
A-Funakoshi/bert-base-japanese-v3-wrime-v2 | 2023-10-27T12:16:22.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"ja",
"endpoints_compatible",
"region:us"
] | text-classification | A-Funakoshi | null | null | A-Funakoshi/bert-base-japanese-v3-wrime-v2 | 0 | 2 | transformers | 2023-10-27T12:05:45 | ---
language:
- ja
metrics:
- accuracy
- f1
---
- ベースモデル：cl-tohoku/bert-base-japanese-whole-word-masking
- データセット：llm-book/wrime-sentiment
- オプティマイザ: adamw
- Optunaでハイパーパラメータ探索
- 学習率スケジュールのタイプ(lr_scheduler_type): constant, linear, cosine
- 学習率(learning rate): 1e-6 ~ 1e-4
- バッチサイズ(per_device_train_batch_size): 16,... | 663 | [
[
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0.01136016845703125,
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0... |
s-man2099/gpl-2500 | 2023-10-27T14:51:48.000Z | [
"transformers",
"tf",
"pegasus",
"text2text-generation",
"generated_from_keras_callback",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | s-man2099 | null | null | s-man2099/gpl-2500 | 0 | 2 | transformers | 2023-10-27T12:28:15 | ---
base_model: google/pegasus-large
tags:
- generated_from_keras_callback
model-index:
- name: s-man2099/gpl-2500
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# s-... | 1,887 | [
[
-0.04962158203125,
-0.03753662109375,
0.025390625,
-0.002376556396484375,
-0.035064697265625,
-0.03594970703125,
-0.00687408447265625,
-0.021514892578125,
0.014495849609375,
0.013671875,
-0.0587158203125,
-0.04119873046875,
-0.058013916015625,
-0.01721191406... |
arieg/food_classifier_noaug_streaming | 2023-10-29T07:49:02.000Z | [
"transformers",
"tf",
"vit",
"image-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | arieg | null | null | arieg/food_classifier_noaug_streaming | 0 | 2 | transformers | 2023-10-27T12:52:30 | ---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_keras_callback
model-index:
- name: arieg/food_classifier_noaug_streaming
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread ... | 1,944 | [
[
-0.037567138671875,
-0.035491943359375,
0.01537322998046875,
-0.0167694091796875,
-0.010467529296875,
-0.033416748046875,
-0.006175994873046875,
-0.0124053955078125,
0.01361846923828125,
0.01555633544921875,
-0.04705810546875,
-0.039276123046875,
-0.062622070312... |
mmnga/japanese-stablelm-base-gamma-7b-GPTQ-calib-ja-1k | 2023-11-03T08:31:40.000Z | [
"transformers",
"mistral",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | mmnga | null | null | mmnga/japanese-stablelm-base-gamma-7b-GPTQ-calib-ja-1k | 0 | 2 | transformers | 2023-10-27T13:19:35 | ---
license: apache-2.0
---
# japanese-stablelm-base-gamma-7b-GPTQ-calib-ja-1k
stabilityaiさんが公開している、[japanese-stablelm-base-gamma-7b](https://huggingface.co/stabilityai/japanese-stablelm-base-gamma-7b)を、
日本語のキャリブレーションセットで生成したGPTQモデルになります。
キャリブレーションセットは[izumi-lab/wikipedia-ja-20230720](https://huggingface.co/datasets... | 2,920 | [
[
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-0.049957275390625,
-0.04736328125,
0... |
sangeet2020/asr-crdnn-rnnlm-commonvoice-10.0-de | 2023-10-27T16:48:55.000Z | [
"speechbrain",
"automatic-speech-recognition",
"CTC",
"NLL",
"Attention",
"pytorch",
"de",
"dataset:common_voice",
"arxiv:2106.04624",
"license:apache-2.0",
"region:us"
] | automatic-speech-recognition | sangeet2020 | null | null | sangeet2020/asr-crdnn-rnnlm-commonvoice-10.0-de | 0 | 2 | speechbrain | 2023-10-27T14:47:11 | ---
language: "de"
thumbnail:
tags:
- automatic-speech-recognition
- CTC
- NLL
- Attention
- pytorch
- speechbrain
license: "apache-2.0"
datasets:
- common_voice
metrics:
- wer
- cer
---
<iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="... | 4,380 | [
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0.00997924... |
LoneStriker/zephyr-7b-beta-6.0bpw-h6-exl2 | 2023-10-27T14:55:50.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"generated_from_trainer",
"en",
"dataset:HuggingFaceH4/ultrachat_200k",
"dataset:HuggingFaceH4/ultrafeedback_binarized",
"arxiv:2305.18290",
"arxiv:2310.16944",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
... | text-generation | LoneStriker | null | null | LoneStriker/zephyr-7b-beta-6.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-27T14:55:33 | ---
tags:
- generated_from_trainer
model-index:
- name: zephyr-7b-beta
results: []
license: mit
datasets:
- HuggingFaceH4/ultrachat_200k
- HuggingFaceH4/ultrafeedback_binarized
language:
- en
base_model: mistralai/Mistral-7B-v0.1
---
<!-- This model card has been generated automatically according to the information ... | 19,420 | [
[
-0.0302276611328125,
-0.05584716796875,
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0.00811004638671875,
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0.0271759033203125,
0.01953125,
-0.038787841796875,
-0.0269927978515625,
-0.046417236328125,
... |
maddiehope/airlinetweets | 2023-10-27T19:02:18.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | maddiehope | null | null | maddiehope/airlinetweets | 0 | 2 | transformers | 2023-10-27T15:18:02 | ---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
model-index:
- name: airlinetweets
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. ... | 1,369 | [
[
-0.03424072265625,
-0.035675048828125,
0.00982666015625,
0.0169525146484375,
-0.0330810546875,
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-0.01019287109375,
-0.00795745849609375,
0.0144500732421875,
0.02947998046875,
-0.064208984375,
-0.03143310546875,
-0.038238525390625,
-0.0247... |
sahilnagaralu/movie-script-generator | 2023-10-31T19:41:44.000Z | [
"transformers",
"pytorch",
"bart",
"text-generation",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | sahilnagaralu | null | null | sahilnagaralu/movie-script-generator | 0 | 2 | transformers | 2023-10-27T15:58:09 | ---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: movie-script-generator
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove th... | 1,401 | [
[
-0.0282135009765625,
-0.05938720703125,
0.0208282470703125,
0.0036449432373046875,
-0.0221710205078125,
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-0.0055999755859375,
-0.002933502197265625,
0.0162353515625,
0.0386962890625,
-0.06585693359375,
-0.04266357421875,
-0.04547119140625,
... |
RossAscends/Mistral_7B_Dolphin2.1_LIMA0.5_fp16 | 2023-10-28T11:20:53.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | RossAscends | null | null | RossAscends/Mistral_7B_Dolphin2.1_LIMA0.5_fp16 | 2 | 2 | transformers | 2023-10-27T16:19:35 | ---
license: mit
---
ehartford's merge of Mistral 7B 0.1 with his Dolphin 2.1 dataset
https://huggingface.co/ehartford/dolphin-2.1-mistral-7b
and
LIMA RP dataset applied as a lora at 0.5 weight
https://huggingface.co/lemonilia/limarp-llama2-v2/
Purpose of the model is to be RP-focused, smart, fast, and lightweigh... | 912 | [
[
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0.03399658203125,
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0.05059814453125,
-0.0291900634765625,
0.004241943359375,
-0.0265655517578125,
-0.0... |
keylazy/bert-finetuned-ner | 2023-10-27T17:55:22.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"generated_from_trainer",
"dataset:conll2003",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | keylazy | null | null | keylazy/bert-finetuned-ner | 0 | 2 | transformers | 2023-10-27T17:37:44 | ---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
datasets:
- conll2003
model-index:
- name: bert-finetuned-ner
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it,... | 1,056 | [
[
-0.04364013671875,
-0.056060791015625,
0.00637054443359375,
0.01226806640625,
-0.03350830078125,
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-0.0159912109375,
-0.020172119140625,
0.0087432861328125,
0.0311126708984375,
-0.060455322265625,
-0.031951904296875,
-0.040008544921875,
-0.... |
TheBloke/AshhLimaRP-Mistral-7B-GGUF | 2023-10-27T20:10:01.000Z | [
"transformers",
"mistral",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | null | TheBloke | null | null | TheBloke/AshhLimaRP-Mistral-7B-GGUF | 0 | 2 | transformers | 2023-10-27T20:00:13 | ---
base_model: lemonilia/AshhLimaRP-Mistral-7B
inference: false
license: apache-2.0
model_creator: Suikamelon
model_name: AshhLimaRP Mistral 7B
model_type: mistral
prompt_template: "### Instruction:\nCharacter's Persona: bot character description\n\
\nUser's persona: user character description\n \nScenario: what ha... | 23,134 | [
[
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0.004... |
valinor/classification-adapters-llama7b-4bit-lorar64 | 2023-10-27T20:09:49.000Z | [
"peft",
"region:us"
] | null | valinor | null | null | valinor/classification-adapters-llama7b-4bit-lorar64 | 0 | 2 | peft | 2023-10-27T20:09:43 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weig... | 464 | [
[
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0.0312347412109375,
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-0.0094757080078125,
-0.0333251953125,
0.01... |
colemane/ppo-Pyramids1 | 2023-10-27T22:40:48.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | colemane | null | null | colemane/ppo-Pyramids1 | 0 | 2 | ml-agents | 2023-10-27T22:40:45 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,334 | [
[
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0.017425537109375,
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0.02947998046875,
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-0.05059814453125,
-0.029876708984375,
-0.0... |
vincegmz/dreamboost_lora_mnist_zero_A_photo_of_zero_with_color_background | 2023-10-27T23:44:27.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"lora",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | vincegmz | null | null | vincegmz/dreamboost_lora_mnist_zero_A_photo_of_zero_with_color_background | 0 | 2 | diffusers | 2023-10-27T23:09:30 |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: a photo of zero with black background
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA DreamBooth - vincegmz/dreamboost_lora_mnist_zero_A_photo_of_zero_... | 725 | [
[
-0.01568603515625,
-0.02532958984375,
0.0269927978515625,
0.017852783203125,
-0.043609619140625,
0.01435089111328125,
0.0279693603515625,
-0.015533447265625,
0.05889892578125,
0.03515625,
-0.0555419921875,
-0.045013427734375,
-0.043487548828125,
-0.018280029... |
vincegmz/dreamboost_lora_mnist_zero | 2023-10-28T00:19:05.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"lora",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | vincegmz | null | null | vincegmz/dreamboost_lora_mnist_zero | 0 | 2 | diffusers | 2023-10-27T23:48:06 |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: a photo of zero with black background
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA DreamBooth - vincegmz/dreamboost_lora_mnist_zero
These are LoRA ... | 687 | [
[
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0.04229736328125,
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-0.04022216796875,
-0.0445556640625,
-0.016113... |
immich-app/RN50__openai | 2023-10-29T03:24:52.000Z | [
"transformers",
"onnx",
"immich",
"clip",
"endpoints_compatible",
"region:us"
] | null | immich-app | null | null | immich-app/RN50__openai | 0 | 2 | transformers | 2023-10-28T01:45:26 | ---
tags:
- immich
- clip
---
# Model Description
This repo contains ONNX exports for the corresponding ResNet-50-based CLIP model by OpenAI. See the [CLIP](https://github.com/openai/CLIP/tree/main) repo for more info.
Visual and textual encoders are separated into separate models for the purpose of generating image... | 451 | [
[
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0... |
benjipeng/ppo-LunarLander-v2 | 2023-10-31T00:01:13.000Z | [
"transformers",
"tensorboard",
"LunarLander-v2",
"ppo",
"deep-reinforcement-learning",
"reinforcement-learning",
"custom-implementation",
"deep-rl-course",
"model-index",
"endpoints_compatible",
"region:us"
] | reinforcement-learning | benjipeng | null | null | benjipeng/ppo-LunarLander-v2 | 0 | 2 | transformers | 2023-10-28T01:58:19 | ---
tags:
- LunarLander-v2
- ppo
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
- deep-rl-course
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metr... | 1,163 | [
[
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0.056182861328125,
-0.03973388671875,
-0.0435791015625,
-0.048004150390625,
-... |
keylazy/distilbert-base-uncased-finetuned-imdb | 2023-10-28T18:09:40.000Z | [
"transformers",
"pytorch",
"distilbert",
"fill-mask",
"generated_from_trainer",
"dataset:imdb",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | keylazy | null | null | keylazy/distilbert-base-uncased-finetuned-imdb | 0 | 2 | transformers | 2023-10-28T02:10:41 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: distilbert-base-uncased-finetuned-imdb
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pro... | 1,465 | [
[
-0.041412353515625,
-0.04351806640625,
0.011016845703125,
0.006816864013671875,
-0.03155517578125,
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-0.0008363723754882812,
0.0005626678466796875,
0.0111541748046875,
0.0279541015625,
-0.058349609375,
-0.037811279296875,
-0.061004638671875,
... |
toobiza/margin-element-detector-fm-clean-oath-16 | 2023-10-28T03:58:57.000Z | [
"transformers",
"pytorch",
"table-transformer",
"object-detection",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | object-detection | toobiza | null | null | toobiza/margin-element-detector-fm-clean-oath-16 | 0 | 2 | transformers | 2023-10-28T02:18:21 | ---
base_model: toobiza/MT-ancient-spaceship-83
tags:
- generated_from_trainer
model-index:
- name: margin-element-detector-fm-clean-oath-16
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, the... | 1,400 | [
[
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vincegmz/dreamboost_lora_mnistm_zero_batch_size1_with_prior_preservation | 2023-10-28T02:44:21.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"lora",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | vincegmz | null | null | vincegmz/dreamboost_lora_mnistm_zero_batch_size1_with_prior_preservation | 0 | 2 | diffusers | 2023-10-28T02:40:03 |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: a photo of color zero
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA DreamBooth - vincegmz/dreamboost_lora_mnistm_zero_batch_size1_with_prior_preserva... | 692 | [
[
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-... |
vincegmz/dreamboost_lora_mnistm_zero_batch_size1_with_prior_preservaiton | 2023-10-28T03:13:28.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"lora",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | vincegmz | null | null | vincegmz/dreamboost_lora_mnistm_zero_batch_size1_with_prior_preservaiton | 1 | 2 | diffusers | 2023-10-28T03:05:36 |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: a photo of color zero
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA DreamBooth - vincegmz/dreamboost_lora_mnistm_zero_batch_size1_with_prior_preserva... | 692 | [
[
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0.03973388671875,
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leeboykt/codeparrot-ds | 2023-10-28T05:10:35.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | leeboykt | null | null | leeboykt/codeparrot-ds | 0 | 2 | transformers | 2023-10-28T03:16:50 | ---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: codeparrot-ds
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# codeparrot-... | 1,105 | [
[
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vincegmz/dreamboost_lora_mnistm_zero_batch_size1_with_prior_preservaiton_loss_weight0.5 | 2023-10-28T03:41:44.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"lora",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | vincegmz | null | null | vincegmz/dreamboost_lora_mnistm_zero_batch_size1_with_prior_preservaiton_loss_weight0.5 | 1 | 2 | diffusers | 2023-10-28T03:37:24 |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: a photo of color zero
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA DreamBooth - vincegmz/dreamboost_lora_mnistm_zero_batch_size1_with_prior_preserva... | 707 | [
[
-0.007808685302734375,
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abdullah0x/bert-finetuned-ner | 2023-10-28T05:48:47.000Z | [
"transformers",
"tf",
"bert",
"token-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | abdullah0x | null | null | abdullah0x/bert-finetuned-ner | 0 | 2 | transformers | 2023-10-28T05:35:40 | ---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_keras_callback
model-index:
- name: abdullah0x/bert-finetuned-ner
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remo... | 1,582 | [
[
-0.049285888671875,
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0.0165557861328125,
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0.005054473876953125,
0.015472412109375,
-0.06005859375,
-0.04278564453125,
-0.050201416015625,
-0.0... |
Chhabi/my_awesome_qa_model | 2023-10-28T08:51:53.000Z | [
"transformers",
"pytorch",
"distilbert",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | Chhabi | null | null | Chhabi/my_awesome_qa_model | 0 | 2 | transformers | 2023-10-28T07:10:23 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: my_awesome_qa_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complet... | 1,427 | [
[
-0.0286407470703125,
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TheBloke/Mistral_7B_Dolphin2.1_LIMA0.5-GGUF | 2023-10-28T11:40:50.000Z | [
"transformers",
"mistral",
"license:mit",
"text-generation-inference",
"region:us"
] | null | TheBloke | null | null | TheBloke/Mistral_7B_Dolphin2.1_LIMA0.5-GGUF | 2 | 2 | transformers | 2023-10-28T07:50:04 | ---
base_model: RossAscends/Mistral_7B_Dolphin2.1_LIMA0.5_fp16
inference: false
license: mit
model_creator: Ross Ascends
model_name: Mistral 7B Dolphin2.1 Lima0.5
model_type: mistral
prompt_template: '<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
... | 18,146 | [
[
-0.06787109375,
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0.0149917602... |
borggAI/CollectiveCognition-v1-1-Mistral-7B-fnv2 | 2023-10-28T08:45:31.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"gpt",
"llm",
"large language model",
"h2o-llmstudio",
"en",
"text-generation-inference",
"region:us"
] | text-generation | borggAI | null | null | borggAI/CollectiveCognition-v1-1-Mistral-7B-fnv2 | 0 | 2 | transformers | 2023-10-28T08:40:31 | ---
language:
- en
library_name: transformers
tags:
- gpt
- llm
- large language model
- h2o-llmstudio
inference: false
thumbnail: https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico
---
# Model Card
## Summary
This model was trained using [H2O LLM Studio](https://github.com/h2oai/... | 8,176 | [
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TheBloke/Echidna-13B-v0.2-AWQ | 2023-10-28T09:38:30.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:cc-by-nc-4.0",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Echidna-13B-v0.2-AWQ | 0 | 2 | transformers | 2023-10-28T09:10:23 | ---
base_model: NeverSleep/Echidna-13b-v0.2
inference: false
license: cc-by-nc-4.0
model_creator: NeverSleep
model_name: Echidna 13B v0.2
model_type: llama
prompt_template: 'Below is an instruction that describes a task. Write a response
that appropriately completes the request.
### Instruction:
{prompt}
#... | 17,139 | [
[
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0.... |
syedjunaid1996/model-pradeep-flan-t5-small | 2023-10-30T04:44:34.000Z | [
"transformers",
"pytorch",
"t5",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | question-answering | syedjunaid1996 | null | null | syedjunaid1996/model-pradeep-flan-t5-small | 0 | 2 | transformers | 2023-10-28T09:28:44 | ---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: model-pradeep-flan-t5-small
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and co... | 1,260 | [
[
-0.033660888671875,
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0.00905609130859375,
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0.020660400390625,
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... |
Heipa207/distilbert-base-uncased-finetuned-emotion | 2023-10-28T09:52:17.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | Heipa207 | null | null | Heipa207/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-10-28T09:48:40 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
... | 1,877 | [
[
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SlothBot/home_workstation_ASR | 2023-10-28T20:02:32.000Z | [
"transformers",
"pytorch",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | SlothBot | null | null | SlothBot/home_workstation_ASR | 0 | 2 | transformers | 2023-10-28T12:20:10 | ---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: home_workstation_ASR
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it,... | 1,688 | [
[
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TheBloke/SauerkrautLM-70B-v1-GGUF | 2023-10-28T18:07:22.000Z | [
"transformers",
"llama",
"text-generation",
"de",
"en",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/SauerkrautLM-70B-v1-GGUF | 1 | 2 | transformers | 2023-10-28T13:06:59 | ---
base_model: VAGOsolutions/SauerkrautLM-70b-v1
inference: false
language:
- de
- en
library_name: transformers
license: llama2
model_creator: VAGO solutions
model_name: SauerkrautLM 70B v1
model_type: llama
pipeline_tag: text-generation
prompt_template: "[INST] <<SYS>>\nEin Chat zwischen einem Benutzer und einem KI-... | 31,347 | [
[
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margaretshark/ppo-Pyramids | 2023-10-28T14:13:54.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | margaretshark | null | null | margaretshark/ppo-Pyramids | 0 | 2 | ml-agents | 2023-10-28T14:13:51 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,338 | [
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patnelt60/distilbert-base-uncased-distilled-squad-finetuned-clinc | 2023-10-28T15:05:28.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:clinc_oos",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | patnelt60 | null | null | patnelt60/distilbert-base-uncased-distilled-squad-finetuned-clinc | 0 | 2 | transformers | 2023-10-28T14:59:59 | ---
license: apache-2.0
base_model: distilbert-base-uncased-distilled-squad
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-distilled-squad-finetuned-clinc
results:
- task:
name: Text Classification
type: text-classification
datas... | 2,355 | [
[
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martinbaste/ppo-LunarLander-v2 | 2023-10-28T15:30:37.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | martinbaste | null | null | martinbaste/ppo-LunarLander-v2 | 0 | 2 | stable-baselines3 | 2023-10-28T15:30:13 | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | 784 | [
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Andyrasika/a2c-PandaReachDense-v3 | 2023-10-28T15:50:11.000Z | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | Andyrasika | null | null | Andyrasika/a2c-PandaReachDense-v3 | 1 | 2 | stable-baselines3 | 2023-10-28T15:37:43 | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v3
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v3
type: PandaReach... | 1,003 | [
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AzureBlack/Lewd-Sydney-20B-exl2 | 2023-10-28T19:15:40.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"not-for-all-audiences",
"nsfw",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | AzureBlack | null | null | AzureBlack/Lewd-Sydney-20B-exl2 | 2 | 2 | transformers | 2023-10-28T16:04:39 | ---
license: cc-by-nc-4.0
tags:
- not-for-all-audiences
- nsfw
---
ExllamaV2 version of the model created by [Undi](https://huggingface.co/Undi95)!
Original Model https://huggingface.co/Undi95/Lewd-Sydney-20B
Requires ExllamaV2, which is being developed by turboderp https://github.com/turboderp/exllamav2 under an MI... | 1,665 | [
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nkarp/PPO-LunarLander-v2 | 2023-10-28T16:42:01.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | nkarp | null | null | nkarp/PPO-LunarLander-v2 | 0 | 2 | stable-baselines3 | 2023-10-28T16:41:41 | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | 784 | [
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NicholasGri/ppo-LunarLander-v2 | 2023-10-28T17:05:21.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | NicholasGri | null | null | NicholasGri/ppo-LunarLander-v2 | 0 | 2 | stable-baselines3 | 2023-10-28T17:04:59 | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | 784 | [
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0.06500244140625,
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-... |
YieldInc/FinanceRelatedQuestionFineTune | 2023-10-28T17:43:10.000Z | [
"peft",
"region:us"
] | null | YieldInc | null | null | YieldInc/FinanceRelatedQuestionFineTune | 0 | 2 | peft | 2023-10-28T17:40:08 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weig... | 469 | [
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0.03179931640625,
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-0.034027099609375,
0.0100631713867187... |
colemane/a2c-PandaReachDense-v3 | 2023-10-28T18:13:46.000Z | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | colemane | null | null | colemane/a2c-PandaReachDense-v3 | 0 | 2 | stable-baselines3 | 2023-10-28T18:08:17 | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v3
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v3
type: PandaReach... | 802 | [
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DopeorNope/adapter_orca_v2 | 2023-10-28T18:16:22.000Z | [
"peft",
"region:us"
] | null | DopeorNope | null | null | DopeorNope/adapter_orca_v2 | 0 | 2 | peft | 2023-10-28T18:15:29 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weig... | 469 | [
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0.... |
abhijeet2022/a2c-PandaReachDense-v3 | 2023-10-28T18:50:56.000Z | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | abhijeet2022 | null | null | abhijeet2022/a2c-PandaReachDense-v3 | 0 | 2 | stable-baselines3 | 2023-10-28T18:45:09 | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v3
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v3
type: PandaReach... | 802 | [
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... |
folivos/ppo-LunarLander-v2 | 2023-10-28T19:03:01.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | folivos | null | null | folivos/ppo-LunarLander-v2 | 0 | 2 | stable-baselines3 | 2023-10-28T19:02:38 | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | 784 | [
[
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0.017059326171875,
0.023345947265625,
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0.034454345703125,
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0.06500244140625,
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-... |
vincegmz/dreamboost_lora_mnist_zero_batch_size4_weight1.0lr1e-4_promptA_photo_of_olis_zero | 2023-10-28T19:50:16.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"lora",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | vincegmz | null | null | vincegmz/dreamboost_lora_mnist_zero_batch_size4_weight1.0lr1e-4_promptA_photo_of_olis_zero | 0 | 2 | diffusers | 2023-10-28T19:29:45 |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: a photo of olis zero
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA DreamBooth - vincegmz/dreamboost_lora_mnist_zero_batch_size4_weight1.0lr1e-4_promp... | 708 | [
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-... |
Alefiah/UrduSum1 | 2023-10-28T20:13:19.000Z | [
"transformers",
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | Alefiah | null | null | Alefiah/UrduSum1 | 0 | 2 | transformers | 2023-10-28T19:46:32 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: UrduSum1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# UrduSum1
This model is a ... | 1,376 | [
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0.028900146484375,
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0.0003230571746826172,
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LoneStriker/stabilityai_japanese-stablelm-instruct-gamma-7b-8.0bpw-h6-exl2 | 2023-10-28T20:44:20.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"japanese-stablelm",
"causal-lm",
"ja",
"arxiv:2310.06825",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/stabilityai_japanese-stablelm-instruct-gamma-7b-8.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-28T20:43:59 | ---
language:
- ja
tags:
- japanese-stablelm
- causal-lm
pipeline_tag: text-generation
license: apache-2.0
extra_gated_fields:
Name: text
Email: text
Country: text
Organization or Affiliation: text
I allow Stability AI to contact me about information related to its models and research: checkbox
---
# Japanes... | 5,342 | [
[
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0... |
trip2fun/hstv-cc-help_v01 | 2023-10-28T20:47:27.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta",
"text-classification",
"autotrain",
"en",
"dataset:trip2fun/autotrain-data-hstv-cc-help_v01",
"co2_eq_emissions",
"endpoints_compatible",
"region:us"
] | text-classification | trip2fun | null | null | trip2fun/hstv-cc-help_v01 | 0 | 2 | transformers | 2023-10-28T20:46:21 | ---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain"
datasets:
- trip2fun/autotrain-data-hstv-cc-help_v01
co2_eq_emissions:
emissions: 0.6136021183133442
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 97985146964
- CO2 Emissions (i... | 1,310 | [
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-0.05715942382812... |
Gokdeniz-Tingur/ppo-LunarLander-v2 | 2023-10-28T21:17:48.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | Gokdeniz-Tingur | null | null | Gokdeniz-Tingur/ppo-LunarLander-v2 | 0 | 2 | stable-baselines3 | 2023-10-28T21:17:28 | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | 784 | [
[
-0.0001958608627319336,
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... |
petrosfk/ppo-LunarLander-v2 | 2023-10-28T21:36:59.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | petrosfk | null | null | petrosfk/ppo-LunarLander-v2 | 0 | 2 | stable-baselines3 | 2023-10-28T21:36:38 | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | 784 | [
[
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0.034423828125,
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0.06500244140625,
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... |
AmirH98/a2c-PandaReachDense-v3 | 2023-10-28T21:56:59.000Z | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | AmirH98 | null | null | AmirH98/a2c-PandaReachDense-v3 | 0 | 2 | stable-baselines3 | 2023-10-28T21:51:27 | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v3
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v3
type: PandaReach... | 802 | [
[
-0.0222320556640625,
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0.0477294921875,
0.0019350051879882812,
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0.034088134765625,
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0.0287322998046875,
0.043853759765625,
-0.061187744140625,
-0.03411865234375,
-0.0300140380859375,... |
jaweed123/Pyramids-Training | 2023-10-28T22:32:04.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | jaweed123 | null | null | jaweed123/Pyramids-Training | 0 | 2 | ml-agents | 2023-10-28T22:31:56 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,339 | [
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immich-app/XLM-Roberta-Large-Vit-L-14 | 2023-10-28T22:59:13.000Z | [
"transformers",
"onnx",
"immich",
"clip",
"multilingual",
"endpoints_compatible",
"region:us"
] | null | immich-app | null | null | immich-app/XLM-Roberta-Large-Vit-L-14 | 0 | 2 | transformers | 2023-10-28T22:46:24 | ---
tags:
- immich
- clip
- multilingual
---
# Model Description
This repo contains ONNX exports for the multilingual CLIP model [M-CLIP/XLM-Roberta-Large-Vit-L-14](https://huggingface.co/M-CLIP/XLM-Roberta-Large-Vit-L-14).
It separates the visual and textual encoders into separate models for the purpose of genera... | 461 | [
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jaweed123/a2c-PandaReachDense-v3 | 2023-10-28T23:53:10.000Z | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | jaweed123 | null | null | jaweed123/a2c-PandaReachDense-v3 | 0 | 2 | stable-baselines3 | 2023-10-28T23:47:41 | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v3
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v3
type: PandaReach... | 802 | [
[
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jaweed123/a2c-PandaPickAndPlace-v3 | 2023-10-29T00:59:39.000Z | [
"stable-baselines3",
"PandaPickAndPlace-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | jaweed123 | null | null | jaweed123/a2c-PandaPickAndPlace-v3 | 0 | 2 | stable-baselines3 | 2023-10-29T00:54:06 | ---
library_name: stable-baselines3
tags:
- PandaPickAndPlace-v3
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaPickAndPlace-v3
type: PandaP... | 813 | [
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-0.03778076171875,
-0.032958984375,
... |
bartmiller/ppo-MLAgentsPyramids | 2023-10-29T01:42:53.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | bartmiller | null | null | bartmiller/ppo-MLAgentsPyramids | 0 | 2 | ml-agents | 2023-10-29T01:35:51 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,343 | [
[
-0.03955078125,
-0.033843994140625,
0.003719329833984375,
0.01314544677734375,
-0.01025390625,
0.01348876953125,
0.0167083740234375,
-0.0157318115234375,
0.034423828125,
0.0312042236328125,
-0.042144775390625,
-0.04913330078125,
-0.02978515625,
-0.0155868530... |
H2789/use_data_finetuning | 2023-10-29T06:26:07.000Z | [
"transformers",
"pytorch",
"detr",
"object-detection",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | object-detection | H2789 | null | null | H2789/use_data_finetuning | 0 | 2 | transformers | 2023-10-29T03:26:00 | ---
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: use_data_finetuning
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove ... | 1,083 | [
[
-0.036102294921875,
-0.05328369140625,
0.0002827644348144531,
0.0124053955078125,
-0.0247344970703125,
-0.0303497314453125,
-0.01021575927734375,
-0.016082763671875,
0.0222625732421875,
0.0279998779296875,
-0.07110595703125,
-0.03521728515625,
-0.03460693359375,... |
enjoygoodboy/qw7c4 | 2023-10-29T03:55:20.000Z | [
"peft",
"region:us"
] | null | enjoygoodboy | null | null | enjoygoodboy/qw7c4 | 0 | 2 | peft | 2023-10-29T03:54:58 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weig... | 464 | [
[
-0.045074462890625,
-0.056121826171875,
0.033416748046875,
0.0352783203125,
-0.038604736328125,
0.007015228271484375,
0.01174163818359375,
-0.01399993896484375,
-0.01226043701171875,
0.03125,
-0.041656494140625,
-0.009490966796875,
-0.033294677734375,
0.0113... |
ThangDinh/qthang-finetuned-2 | 2023-10-29T05:50:08.000Z | [
"transformers",
"pytorch",
"bert",
"question-answering",
"generated_from_trainer",
"dataset:covid_qa_deepset",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | ThangDinh | null | null | ThangDinh/qthang-finetuned-2 | 0 | 2 | transformers | 2023-10-29T04:49:44 | ---
license: mit
base_model: microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext
tags:
- generated_from_trainer
datasets:
- covid_qa_deepset
model-index:
- name: qthang-finetuned-2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. ... | 1,227 | [
[
-0.01959228515625,
-0.036956787109375,
0.0063629150390625,
0.0031299591064453125,
-0.02777099609375,
-0.0198211669921875,
0.00046515464782714844,
-0.031768798828125,
0.004241943359375,
0.01183319091796875,
-0.044830322265625,
-0.045440673828125,
-0.032470703125,... |
zaanind/llama-2-7b-miniguanaco | 2023-10-29T05:54:36.000Z | [
"peft",
"region:us"
] | null | zaanind | null | null | zaanind/llama-2-7b-miniguanaco | 0 | 2 | peft | 2023-10-29T05:54:27 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_ty... | 795 | [
[
-0.049346923828125,
-0.04913330078125,
0.02398681640625,
0.034698486328125,
-0.04168701171875,
0.004528045654296875,
0.0069427490234375,
-0.020843505859375,
-0.009796142578125,
0.026275634765625,
-0.048797607421875,
-0.0138397216796875,
-0.0377197265625,
0.0... |
sunriseL/ppo-LunarLander-v2 | 2023-10-29T08:08:51.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | sunriseL | null | null | sunriseL/ppo-LunarLander-v2 | 0 | 2 | stable-baselines3 | 2023-10-29T08:08:29 | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | 784 | [
[
-0.00023484230041503906,
-0.02716064453125,
0.017059326171875,
0.023345947265625,
-0.00606536865234375,
0.002735137939453125,
0.034454345703125,
-0.012115478515625,
0.019866943359375,
0.06500244140625,
-0.043212890625,
-0.035247802734375,
-0.0343017578125,
-... |
Kooten/Echidna-13b-v0.3-3bpw-h8-exl2 | 2023-10-29T11:06:56.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"not-for-all-audiences",
"nsfw",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Kooten | null | null | Kooten/Echidna-13b-v0.3-3bpw-h8-exl2 | 1 | 2 | transformers | 2023-10-29T08:15:12 | ---
license: cc-by-nc-4.0
tags:
- not-for-all-audiences
- nsfw
---
## Description
Exllama 2 quant of [NeverSleep/Echidna-13b-v0.3](https://huggingface.co/NeverSleep/Echidna-13b-v0.3)
3 BPW, Head bit set to 8
## VRAM
My VRAM usage with 13B models are:
| Bits per weight | Context | VRAM |
|--|--|--|
| 8bpw | 8k | 22... | 787 | [
[
-0.027618408203125,
-0.06329345703125,
0.04180908203125,
0.045013427734375,
-0.044647216796875,
-0.0234527587890625,
0.017120361328125,
-0.03179931640625,
0.043212890625,
0.035919189453125,
-0.04266357421875,
-0.0238494873046875,
-0.049102783203125,
-0.01768... |
TheBloke/Mistral-ClaudeLimaRP-v3-7B-GGUF | 2023-10-29T09:32:14.000Z | [
"transformers",
"mistral",
"not-for-all-audiences",
"nsfw",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | null | TheBloke | null | null | TheBloke/Mistral-ClaudeLimaRP-v3-7B-GGUF | 4 | 2 | transformers | 2023-10-29T09:27:59 | ---
base_model: Undi95/Mistral-ClaudeLimaRP-v3-7B
inference: false
license: apache-2.0
model_creator: Undi
model_name: Mistral ClaudeLimaRP v3 7B
model_type: mistral
prompt_template: "### Instruction:\nCharacter's Persona: bot character description\n\
\nUser's persona: user character description\n \nScenario: what h... | 20,850 | [
[
-0.053497314453125,
-0.05535888671875,
0.0266876220703125,
0.0240631103515625,
-0.0253448486328125,
-0.01380157470703125,
0.0030975341796875,
-0.04547119140625,
0.03466796875,
0.0215301513671875,
-0.060150146484375,
-0.03485107421875,
-0.0394287109375,
0.001... |
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