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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
algorithm6174/summarizer1102023 | 2023-09-30T19:26:07.000Z | [
"peft",
"region:us"
] | null | algorithm6174 | null | null | algorithm6174/summarizer1102023 | 0 | 2 | peft | 2023-09-30T18:41:30 | ---
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... | 863 | [
[
-0.049713134765625,
-0.051605224609375,
0.0217437744140625,
0.03436279296875,
-0.04229736328125,
0.006595611572265625,
0.0082550048828125,
-0.0210723876953125,
-0.00820159912109375,
0.026763916015625,
-0.04901123046875,
-0.01548004150390625,
-0.037811279296875,
... |
osiria/minilm-l6-h384-italian-cased | 2023-10-09T12:17:12.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"fill-mask",
"arxiv:2012.15828",
"arxiv:2010.05609",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | osiria | null | null | osiria/minilm-l6-h384-italian-cased | 0 | 2 | transformers | 2023-09-30T21:39:44 | ---
license: mit
---
--------------------------------------------------------------------------------------------------
<body>
<span class="vertical-text" style="background-color:lightgreen;border-radius: 3px;padding: 3px;"> </span>
<br>
<span class="vertical-text" style="background-color:orange;border-radius: 3px;pa... | 1,569 | [
[
-0.034210205078125,
-0.05609130859375,
0.0104827880859375,
-0.0002655982971191406,
0.0021190643310546875,
-0.0107269287109375,
0.005886077880859375,
-0.03955078125,
0.01030731201171875,
-0.0166168212890625,
-0.05938720703125,
-0.03411865234375,
-0.02603149414062... |
eddyyeo/a2c-PandaReachDense-v3 | 2023-09-30T22:41:38.000Z | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | eddyyeo | null | null | eddyyeo/a2c-PandaReachDense-v3 | 0 | 2 | stable-baselines3 | 2023-09-30T22:36:07 | ---
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 | [
[
-0.022247314453125,
-0.046966552734375,
-0.0018167495727539062,
0.0477294921875,
0.001934051513671875,
-0.00591278076171875,
0.034088134765625,
-0.0240325927734375,
0.028717041015625,
0.043853759765625,
-0.061187744140625,
-0.03411865234375,
-0.0300140380859375,... |
alperenunlu/a2c-PandaReachDense-v3 | 2023-10-01T00:46:56.000Z | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | alperenunlu | null | null | alperenunlu/a2c-PandaReachDense-v3 | 0 | 2 | stable-baselines3 | 2023-10-01T00:41:25 | ---
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 | [
[
-0.022247314453125,
-0.046966552734375,
-0.0018167495727539062,
0.0477294921875,
0.001934051513671875,
-0.00591278076171875,
0.034088134765625,
-0.0240325927734375,
0.028717041015625,
0.043853759765625,
-0.061187744140625,
-0.03411865234375,
-0.0300140380859375,... |
quastrinos/openbook-finetuned-deberta-v3-large-mcqa-TPU | 2023-10-07T20:22:00.000Z | [
"transformers",
"tf",
"deberta-v2",
"multiple-choice",
"generated_from_keras_callback",
"license:mit",
"endpoints_compatible",
"region:us"
] | multiple-choice | quastrinos | null | null | quastrinos/openbook-finetuned-deberta-v3-large-mcqa-TPU | 0 | 2 | transformers | 2023-10-01T09:39:45 | ---
license: mit
base_model: microsoft/deberta-v3-large
tags:
- generated_from_keras_callback
model-index:
- name: openbook-finetuned-deberta-v3-large-mcqa-TPU
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and com... | 1,813 | [
[
-0.042938232421875,
-0.0494384765625,
0.0201873779296875,
-0.0010232925415039062,
-0.0242462158203125,
-0.0281219482421875,
-0.012542724609375,
-0.0252532958984375,
0.00884246826171875,
0.012664794921875,
-0.043121337890625,
-0.04718017578125,
-0.05523681640625,... |
YoungMeng/ppo-BipedalWalker | 2023-10-01T10:26:05.000Z | [
"stable-baselines3",
"BipedalWalker-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | YoungMeng | null | null | YoungMeng/ppo-BipedalWalker | 0 | 2 | stable-baselines3 | 2023-10-01T10:25:28 | ---
library_name: stable-baselines3
tags:
- BipedalWalker-v3
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: BipedalWalker-v3
type: BipedalWalker-... | 794 | [
[
0.007549285888671875,
-0.0269317626953125,
0.0056915283203125,
0.03631591796875,
-0.0126190185546875,
0.0021114349365234375,
0.047088623046875,
-0.0285186767578125,
0.032470703125,
0.042724609375,
-0.032379150390625,
-0.022491455078125,
-0.032623291015625,
-... |
TheBloke/lince-zero-GGUF | 2023-10-01T12:15:17.000Z | [
"transformers",
"falcon",
"text-generation",
"es",
"dataset:tatsu-lab/alpaca",
"dataset:databricks/databricks-dolly-15k",
"arxiv:1910.09700",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/lince-zero-GGUF | 2 | 2 | transformers | 2023-10-01T12:05:52 | ---
base_model: clibrain/lince-zero
datasets:
- tatsu-lab/alpaca
- databricks/databricks-dolly-15k
inference: false
language:
- es
library_name: transformers
license: apache-2.0
model-index:
- name: lince-zero
results: []
model_creator: CliBrAIn
model_name: Lince Zero
model_type: falcon
pipeline_tag: text-generation
... | 27,533 | [
[
-0.050323486328125,
-0.0570068359375,
0.0364990234375,
0.01058197021484375,
-0.017974853515625,
-0.017822265625,
-0.00102996826171875,
-0.049072265625,
0.0289459228515625,
0.0204620361328125,
-0.051544189453125,
-0.0447998046875,
-0.0266876220703125,
-0.0089... |
saumyax/multinews_model | 2023-10-01T12:07:35.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"dataset:multi_news",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | saumyax | null | null | saumyax/multinews_model | 0 | 2 | transformers | 2023-10-01T12:07:20 | ---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- multi_news
metrics:
- rouge
model-index:
- name: multinews_model
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: multi_news
type: multi_news
... | 2,914 | [
[
-0.041961669921875,
-0.03948974609375,
0.0181884765625,
0.0085601806640625,
-0.0097503662109375,
-0.0124664306640625,
-0.0028324127197265625,
-0.006805419921875,
0.033447265625,
0.01934814453125,
-0.0513916015625,
-0.0517578125,
-0.05450439453125,
-0.0107955... |
miittnnss/happy-or-sad | 2023-10-01T12:18:59.000Z | [
"transformers",
"pytorch",
"tensorboard",
"vit",
"image-classification",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | miittnnss | null | null | miittnnss/happy-or-sad | 1 | 2 | transformers | 2023-10-01T12:18:53 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: happy-or-sad
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.800000011920929
---
# happy-or-sad
Autogen... | 714 | [
[
-0.04742431640625,
-0.03857421875,
0.010284423828125,
0.049072265625,
-0.045989990234375,
-0.00244140625,
0.006687164306640625,
-0.034027099609375,
0.048858642578125,
-0.0007419586181640625,
-0.03204345703125,
-0.04443359375,
-0.049041748046875,
0.0148696899... |
TheBloke/UltraRM-13B-AWQ | 2023-10-01T13:57:19.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:mit",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/UltraRM-13B-AWQ | 0 | 2 | transformers | 2023-10-01T13:04:00 | ---
base_model: openbmb/UltraRM-13b
inference: false
license: mit
model_creator: OpenBMB
model_name: UltraRM 13B
model_type: llama
prompt_template: '{prompt}
'
quantized_by: TheBloke
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.... | 13,652 | [
[
-0.034881591796875,
-0.0552978515625,
0.028900146484375,
0.0064544677734375,
-0.02276611328125,
-0.006805419921875,
0.0086517333984375,
-0.036712646484375,
-0.00978851318359375,
0.0267333984375,
-0.04583740234375,
-0.041900634765625,
-0.0137481689453125,
-0.... |
zen-E/bert-mini-sentence-distil-unsupervised | 2023-10-03T02:43:46.000Z | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"en",
"dataset:ffgcc/NEWS5M",
"dataset:zen-E/NEWS5M-simcse-roberta-large-embeddings-pca-256",
"endpoints_compatible",
"region:us"
] | feature-extraction | zen-E | null | null | zen-E/bert-mini-sentence-distil-unsupervised | 0 | 2 | transformers | 2023-10-01T14:38:22 | ---
datasets:
- ffgcc/NEWS5M
- zen-E/NEWS5M-simcse-roberta-large-embeddings-pca-256
language:
- en
metrics:
- pearsonr
- spearmanr
library_name: transformers
---
The model is trained by knowledge distillation between the "princeton-nlp/unsup-simcse-roberta-large" and "prajjwal1/bert-mini" on the 'ffgcc/NEWS5M'.
The m... | 1,803 | [
[
-0.02093505859375,
-0.041656494140625,
0.0185089111328125,
0.004581451416015625,
-0.008514404296875,
-0.0187530517578125,
-0.0196533203125,
0.003997802734375,
-0.0146331787109375,
0.0148468017578125,
-0.036651611328125,
-0.043182373046875,
-0.03961181640625,
... |
MediaTek-Research/Clairaudience | 2023-10-02T03:59:02.000Z | [
"transformers",
"pytorch",
"whisper",
"feature-extraction",
"automatic-speech-recognition",
"arxiv:2307.10274",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | MediaTek-Research | null | null | MediaTek-Research/Clairaudience | 0 | 2 | transformers | 2023-10-01T14:49:48 | ---
license: cc-by-4.0
pipeline_tag: automatic-speech-recognition
---
# Zero-shot Domain-sensitive Speech Recognition with Prompt-conditioning Fine-tuning
[paper][https://arxiv.org/abs/2307.10274]
Feng-Ting Liao, Yung-Chieh Chan, Yi-Chang Chen, Chan-Jan Hsu, Da-shan Shiu
*In this work, we propose a method to create... | 1,419 | [
[
-0.00504302978515625,
-0.0665283203125,
0.030242919921875,
-0.0015649795532226562,
-0.01483154296875,
-0.0172271728515625,
-0.0308380126953125,
-0.0262451171875,
-0.0223388671875,
0.036102294921875,
-0.06591796875,
-0.046905517578125,
-0.043426513671875,
-0.... |
EladAssia/a2c-PandaReachDense-v3 | 2023-10-01T18:03:06.000Z | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | EladAssia | null | null | EladAssia/a2c-PandaReachDense-v3 | 0 | 2 | stable-baselines3 | 2023-10-01T17:57:37 | ---
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 | [
[
-0.022247314453125,
-0.046966552734375,
-0.0018215179443359375,
0.0477294921875,
0.0019426345825195312,
-0.005889892578125,
0.034088134765625,
-0.0240325927734375,
0.0287322998046875,
0.043853759765625,
-0.061187744140625,
-0.03411865234375,
-0.0300445556640625,... |
tylerkiser/a2c-PandaReachDense-v3 | 2023-10-03T00:46:37.000Z | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | tylerkiser | null | null | tylerkiser/a2c-PandaReachDense-v3 | 0 | 2 | stable-baselines3 | 2023-10-01T20:16:15 | ---
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 | [
[
-0.022247314453125,
-0.046966552734375,
-0.0018215179443359375,
0.0477294921875,
0.0019426345825195312,
-0.005889892578125,
0.034088134765625,
-0.0240325927734375,
0.0287322998046875,
0.043853759765625,
-0.061187744140625,
-0.03411865234375,
-0.0300445556640625,... |
grantpitt/clip-vit-large-patch14-336 | 2023-10-02T00:31:17.000Z | [
"generic",
"pytorch",
"tf",
"clip",
"feature-extraction",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | grantpitt | null | null | grantpitt/clip-vit-large-patch14-336 | 0 | 2 | generic | 2023-10-01T20:27:31 | ---
pipeline_tag: feature-extraction
tags:
- feature-extraction
language: en
license: apache-2.0
library_name: generic
---
<!-- 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. -->
# clip-vit-lar... | 884 | [
[
-0.038055419921875,
-0.040740966796875,
0.03253173828125,
0.002445220947265625,
-0.04364013671875,
-0.030914306640625,
0.0001589059829711914,
-0.0232696533203125,
0.01114654541015625,
0.037353515625,
-0.04949951171875,
-0.036285400390625,
-0.0634765625,
-0.0... |
franco-rojas/falcon-rw-1b-finetuned-tfmviu | 2023-10-01T23:16:19.000Z | [
"transformers",
"pytorch",
"falcon",
"text-generation",
"generated_from_trainer",
"custom_code",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | franco-rojas | null | null | franco-rojas/falcon-rw-1b-finetuned-tfmviu | 0 | 2 | transformers | 2023-10-01T22:45:42 | ---
license: apache-2.0
base_model: tiiuae/falcon-rw-1b
tags:
- generated_from_trainer
model-index:
- name: falcon-rw-1b-finetuned-tfmviu
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 r... | 1,418 | [
[
-0.0389404296875,
-0.0523681640625,
0.0032863616943359375,
0.01245880126953125,
-0.0232086181640625,
-0.02154541015625,
-0.0004925727844238281,
-0.0150604248046875,
0.01751708984375,
0.0290985107421875,
-0.06427001953125,
-0.032745361328125,
-0.052459716796875,
... |
nomsgadded/ppo-LunarLander-v2 | 2023-10-02T03:53:47.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | nomsgadded | null | null | nomsgadded/ppo-LunarLander-v2 | 0 | 2 | stable-baselines3 | 2023-10-02T02:59:39 | ---
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,
-... |
DavidLanz/Llama-2-7b-chat-traditional-chinese-sft | 2023-10-18T06:40:38.000Z | [
"peft",
"region:us"
] | null | DavidLanz | null | null | DavidLanz/Llama-2-7b-chat-traditional-chinese-sft | 0 | 2 | peft | 2023-10-02T08:13:09 | ---
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 | [
[
-0.0439453125,
-0.05499267578125,
0.031982421875,
0.03460693359375,
-0.03973388671875,
0.006740570068359375,
0.0117340087890625,
-0.01348876953125,
-0.010498046875,
0.030548095703125,
-0.042510986328125,
-0.009521484375,
-0.0341796875,
0.01085662841796875,
... |
gokuls/HBERTv1_48_L2_H768_A12 | 2023-10-04T17:48:02.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L2_H768_A12 | 0 | 2 | transformers | 2023-10-02T10:33:48 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L2_H768_A12
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_... | 1,591 | [
[
-0.029144287109375,
-0.048828125,
0.00577545166015625,
0.01213836669921875,
-0.03240966796875,
-0.03253173828125,
-0.0244903564453125,
-0.0271759033203125,
0.00576019287109375,
0.01479339599609375,
-0.049407958984375,
-0.036895751953125,
-0.04278564453125,
-... |
gokuls/HBERTv1_48_L2_H64_A2 | 2023-10-04T17:40:51.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L2_H64_A2 | 0 | 2 | transformers | 2023-10-02T10:33:58 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L2_H64_A2
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_da... | 1,588 | [
[
-0.030548095703125,
-0.0496826171875,
0.006103515625,
0.01174163818359375,
-0.0328369140625,
-0.033416748046875,
-0.0243377685546875,
-0.027587890625,
0.006679534912109375,
0.01476287841796875,
-0.0494384765625,
-0.036285400390625,
-0.042266845703125,
-0.016... |
gokuls/HBERTv1_48_L2_H512_A8 | 2023-10-04T17:45:39.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L2_H512_A8 | 0 | 2 | transformers | 2023-10-02T10:33:58 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L2_H512_A8
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_d... | 1,590 | [
[
-0.0299835205078125,
-0.04986572265625,
0.005779266357421875,
0.01198577880859375,
-0.0323486328125,
-0.032257080078125,
-0.0240631103515625,
-0.02728271484375,
0.006603240966796875,
0.01507568359375,
-0.04974365234375,
-0.036773681640625,
-0.041961669921875,
... |
gokuls/HBERTv1_48_L2_H256_A4 | 2023-10-04T17:43:17.000Z | [
"transformers",
"pytorch",
"hybridbert",
"fill-mask",
"generated_from_trainer",
"dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | gokuls | null | null | gokuls/HBERTv1_48_L2_H256_A4 | 0 | 2 | transformers | 2023-10-02T10:34:03 | ---
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
metrics:
- accuracy
model-index:
- name: HBERTv1_48_L2_H256_A4
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: gokuls/wiki_book_corpus_complete_processed_bert_d... | 1,588 | [
[
-0.030181884765625,
-0.04913330078125,
0.005870819091796875,
0.0117340087890625,
-0.03204345703125,
-0.03363037109375,
-0.0243988037109375,
-0.0273284912109375,
0.00661468505859375,
0.01555633544921875,
-0.05010986328125,
-0.036590576171875,
-0.04217529296875,
... |
canadianjosieharrison/swinv2-large-patch4-window12-192-22k-finetuned-ethzurich | 2023-10-02T13:37:32.000Z | [
"transformers",
"pytorch",
"swinv2",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | canadianjosieharrison | null | null | canadianjosieharrison/swinv2-large-patch4-window12-192-22k-finetuned-ethzurich | 0 | 2 | transformers | 2023-10-02T12:48:24 | ---
license: apache-2.0
base_model: microsoft/swinv2-large-patch4-window12-192-22k
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: swinv2-large-patch4-window12-192-22k-finetuned-ethzurich
results:
- task:
name: Image Classification
type: image-classificati... | 2,054 | [
[
-0.0214691162109375,
-0.032562255859375,
-0.0037937164306640625,
0.019744873046875,
-0.022979736328125,
-0.03179931640625,
-0.0100860595703125,
-0.03289794921875,
-0.0128326416015625,
0.01349639892578125,
-0.052825927734375,
-0.03802490234375,
-0.046051025390625... |
bryandts/image_classification_food_indian | 2023-10-02T13:22:38.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | bryandts | null | null | bryandts/image_classification_food_indian | 0 | 2 | transformers | 2023-10-02T12:52:29 | ---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: image_classification_food_indian
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should proba... | 1,622 | [
[
-0.0232696533203125,
-0.041961669921875,
0.0022907257080078125,
0.004878997802734375,
-0.0225677490234375,
-0.027069091796875,
-0.0039215087890625,
-0.0232391357421875,
0.01105499267578125,
0.0242919921875,
-0.038848876953125,
-0.04547119140625,
-0.0563659667968... |
bgsach/WizardCoder-Python-7B-V1.0-ct2-int8_float16 | 2023-10-02T14:45:38.000Z | [
"transformers",
"code",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | bgsach | null | null | bgsach/WizardCoder-Python-7B-V1.0-ct2-int8_float16 | 0 | 2 | transformers | 2023-10-02T14:35:10 |
---
license: llama2
tags:
- code
---
This is a *int8_float16* quantized version of **WizardLM/WizardCoder-Python-7B-V1.0**, quantized using [ctranslate2](https://github.com/OpenNMT/CTranslate2) (see inference instructions there).
**The license/caveats/intended usage is the same as the original model**.
The qua... | 760 | [
[
-0.0169525146484375,
-0.040740966796875,
-0.0027217864990234375,
0.0307159423828125,
-0.025726318359375,
-0.0164947509765625,
0.010040283203125,
0.009368896484375,
-0.022796630859375,
0.054901123046875,
-0.029876708984375,
-0.0105743408203125,
-0.038421630859375... |
sooh098/mt5-small-finetuned-amazon-en-es | 2023-10-02T15:52:25.000Z | [
"transformers",
"pytorch",
"mt5",
"text2text-generation",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | summarization | sooh098 | null | null | sooh098/mt5-small-finetuned-amazon-en-es | 0 | 2 | transformers | 2023-10-02T15:09:20 | ---
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-amazon-en-es
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably ... | 2,147 | [
[
-0.040130615234375,
-0.040313720703125,
0.01525115966796875,
0.0036487579345703125,
-0.022003173828125,
-0.0261383056640625,
-0.003261566162109375,
-0.0095977783203125,
0.0195465087890625,
0.03204345703125,
-0.06182861328125,
-0.05035400390625,
-0.050537109375,
... |
scampion/EUBERT | 2023-10-02T18:08:26.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | scampion | null | null | scampion/EUBERT | 0 | 2 | transformers | 2023-10-02T17:07:34 | ---
tags:
- generated_from_trainer
model-index:
- name: EUBERT
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. -->
# EUBERT
This model is a fine-tuned version of []... | 955 | [
[
-0.038299560546875,
-0.0498046875,
0.011566162109375,
0.01216888427734375,
-0.0252685546875,
-0.027679443359375,
-0.005077362060546875,
-0.0217132568359375,
0.01172637939453125,
0.026947021484375,
-0.050262451171875,
-0.039306640625,
-0.041534423828125,
-0.0... |
Jayanth2002/dinov2-base-finetuned-dermnet | 2023-10-03T11:03:56.000Z | [
"transformers",
"pytorch",
"dinov2",
"image-classification",
"generated_from_trainer",
"dataset:image_folder",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | Jayanth2002 | null | null | Jayanth2002/dinov2-base-finetuned-dermnet | 0 | 2 | transformers | 2023-10-02T18:35:09 | ---
license: apache-2.0
base_model: facebook/dinov2-base
tags:
- generated_from_trainer
datasets:
- image_folder
metrics:
- accuracy
model-index:
- name: dinov2-base-finetuned-dermnet
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: image_folder
type:... | 2,477 | [
[
-0.037506103515625,
-0.0372314453125,
-0.00225067138671875,
-0.0005869865417480469,
-0.0261993408203125,
-0.0203704833984375,
0.0006070137023925781,
-0.0156402587890625,
0.015899658203125,
0.019927978515625,
-0.05596923828125,
-0.049407958984375,
-0.047729492187... |
ccore/LLAMA-2-460m | 2023-10-03T01:25:39.000Z | [
"transformers",
"pytorch",
"tensorboard",
"llama",
"text-generation",
"generated_from_trainer",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | ccore | null | null | ccore/LLAMA-2-460m | 0 | 2 | transformers | 2023-10-02T18:51:29 | ---
base_model: LLAMA-2-460m
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: LLAMA-2-460m
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. -->
... | 4,640 | [
[
-0.00952911376953125,
-0.0394287109375,
0.01161956787109375,
0.01751708984375,
0.0025501251220703125,
0.0033111572265625,
-0.01543426513671875,
-0.04638671875,
0.0210723876953125,
0.01727294921875,
-0.024261474609375,
-0.03253173828125,
-0.036590576171875,
0... |
toobiza/detr-table-transformer-fine-tine-test | 2023-10-02T23:51:01.000Z | [
"transformers",
"pytorch",
"table-transformer",
"object-detection",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | object-detection | toobiza | null | null | toobiza/detr-table-transformer-fine-tine-test | 0 | 2 | transformers | 2023-10-02T23:47:53 | ---
license: mit
base_model: microsoft/table-transformer-detection
tags:
- generated_from_trainer
model-index:
- name: detr-table-transformer-fine-tine-test
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and ... | 1,129 | [
[
-0.042724609375,
-0.0440673828125,
0.01345062255859375,
0.004638671875,
-0.0247802734375,
-0.035186767578125,
0.0020122528076171875,
-0.0160369873046875,
-0.0005664825439453125,
0.0274505615234375,
-0.048370361328125,
-0.033843994140625,
-0.041656494140625,
... |
ontocord/pythia_1b_0_pos | 2023-10-03T06:12:07.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | ontocord | null | null | ontocord/pythia_1b_0_pos | 0 | 2 | transformers | 2023-10-03T05:24:09 | ---
license: apache-2.0
---
# Intro to 0-pos
With all the recent work in extending rotary positional training to create long context, we asked, do we need positional information at all?
## Can you finetune transformers to remove the need for positional info?
The answer is: Yes!
This model is pythia-1b finetuned ... | 2,071 | [
[
-0.02801513671875,
-0.053619384765625,
0.034332275390625,
-0.0021572113037109375,
-0.032806396484375,
-0.0304718017578125,
-0.004871368408203125,
-0.0129852294921875,
0.016632080078125,
0.024932861328125,
-0.0338134765625,
-0.037353515625,
-0.040130615234375,
... |
raptorkwok/cantonese-chinese-translation-bart-large | 2023-10-03T06:58:30.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | raptorkwok | null | null | raptorkwok/cantonese-chinese-translation-bart-large | 0 | 2 | transformers | 2023-10-03T05:59:40 | ---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: cantonese-chinese-translation-bart-large
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. -->
... | 1,815 | [
[
-0.0292816162109375,
-0.044769287109375,
0.00848388671875,
0.0229949951171875,
-0.024932861328125,
-0.02032470703125,
-0.019287109375,
-0.0241851806640625,
0.021820068359375,
0.033660888671875,
-0.04022216796875,
-0.039093017578125,
-0.042388916015625,
0.000... |
napsternxg/nyt-ingredient-tagger-paraphrase-MiniLM-L3-v2 | 2023-10-25T00:11:57.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"generated_from_trainer",
"dataset:napsternxg/nyt_ingredients",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | napsternxg | null | null | napsternxg/nyt-ingredient-tagger-paraphrase-MiniLM-L3-v2 | 0 | 2 | transformers | 2023-10-03T07:10:02 | ---
license: apache-2.0
base_model: sentence-transformers/paraphrase-MiniLM-L3-v2
tags:
- generated_from_trainer
datasets:
- napsternxg/nyt_ingredients
model-index:
- name: model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should p... | 13,119 | [
[
-0.0382080078125,
-0.047088623046875,
0.0109710693359375,
0.01088714599609375,
-0.01959228515625,
-0.00604248046875,
-0.00384521484375,
0.0009407997131347656,
0.04559326171875,
0.01467132568359375,
-0.032135009765625,
-0.03692626953125,
-0.042755126953125,
0... |
satyanshu404/bart-large-mnli-Kaggle-Science-LLM-finetuned | 2023-10-03T12:01:40.000Z | [
"transformers",
"pytorch",
"bart",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | satyanshu404 | null | null | satyanshu404/bart-large-mnli-Kaggle-Science-LLM-finetuned | 0 | 2 | transformers | 2023-10-03T09:11:38 | ---
license: mit
base_model: facebook/bart-large-mnli
tags:
- generated_from_trainer
model-index:
- name: bart-large-mnli-Kaggle-Science-LLM-finetuned
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and comple... | 1,810 | [
[
-0.0335693359375,
-0.0548095703125,
0.0182952880859375,
0.004955291748046875,
-0.0164642333984375,
-0.0200653076171875,
-0.0159149169921875,
-0.01361083984375,
0.0266265869140625,
0.0301513671875,
-0.058013916015625,
-0.04241943359375,
-0.0406494140625,
-0.0... |
imdatta0/mistral-orcabest | 2023-10-03T15:58:04.000Z | [
"peft",
"region:us"
] | null | imdatta0 | null | null | imdatta0/mistral-orcabest | 1 | 2 | peft | 2023-10-03T10:18:56 | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.5.0
- PEFT 0.5.0
- PEFT 0.5.0
- PEFT 0.5.0
| 127 | [
[
-0.0169219970703125,
-0.0088958740234375,
0.0246124267578125,
0.062469482421875,
-0.00914764404296875,
0.00519561767578125,
0.036865234375,
-0.00936126708984375,
0.01209259033203125,
0.055572509765625,
-0.040283203125,
-0.0175628662109375,
-0.0355224609375,
... |
sanali209/reitBF | 2023-10-03T10:25:17.000Z | [
"transformers",
"pytorch",
"tensorboard",
"vit",
"image-classification",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | sanali209 | null | null | sanali209/reitBF | 0 | 2 | transformers | 2023-10-03T10:25:11 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: sanali209/reitBF
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.807272732257843
---
# sanali209/reitBF
... | 647 | [
[
-0.04376220703125,
-0.04052734375,
0.00659942626953125,
0.053863525390625,
-0.031585693359375,
0.00011873245239257812,
0.0204925537109375,
-0.036865234375,
0.0556640625,
0.0208587646484375,
-0.0275115966796875,
-0.036468505859375,
-0.039886474609375,
0.00756... |
nlewins/mt5-small-finetuned-ceb-to-en-tfE | 2023-10-03T18:02:30.000Z | [
"transformers",
"tf",
"tensorboard",
"mt5",
"text2text-generation",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | nlewins | null | null | nlewins/mt5-small-finetuned-ceb-to-en-tfE | 0 | 2 | transformers | 2023-10-03T11:31:15 | ---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_keras_callback
model-index:
- name: nlewins/mt5-small-finetuned-ceb-to-en-tfE
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete ... | 4,586 | [
[
-0.060791015625,
-0.030548095703125,
0.030426025390625,
0.00032448768615722656,
-0.0099029541015625,
-0.01277923583984375,
0.0015163421630859375,
-0.00785064697265625,
0.04473876953125,
0.019775390625,
-0.04693603515625,
-0.048858642578125,
-0.0517578125,
-0... |
Lelestar/ppo-LunarLander-v2 | 2023-10-03T12:19:13.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | Lelestar | null | null | Lelestar/ppo-LunarLander-v2 | 0 | 2 | stable-baselines3 | 2023-10-03T12:18:48 | ---
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 | [
[
-0.00020766258239746094,
-0.0271453857421875,
0.0170745849609375,
0.023345947265625,
-0.006072998046875,
0.0027637481689453125,
0.034423828125,
-0.01212310791015625,
0.019866943359375,
0.06500244140625,
-0.043182373046875,
-0.035247802734375,
-0.0343017578125,
... |
cbellew09/ppo-LunarLander-v2 | 2023-10-03T13:15:40.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | cbellew09 | null | null | cbellew09/ppo-LunarLander-v2 | 0 | 2 | stable-baselines3 | 2023-10-03T13:15:19 | ---
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 | [
[
-0.00020766258239746094,
-0.0271453857421875,
0.0170745849609375,
0.023345947265625,
-0.006072998046875,
0.0027637481689453125,
0.034423828125,
-0.01212310791015625,
0.019866943359375,
0.06500244140625,
-0.043182373046875,
-0.035247802734375,
-0.0343017578125,
... |
jackoyoungblood/speecht5_finetuned_voxpopuli_nl2 | 2023-10-03T16:58:57.000Z | [
"transformers",
"pytorch",
"speecht5",
"text-to-audio",
"generated_from_trainer",
"text-to-speech",
"dataset:voxpopuli",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-to-speech | jackoyoungblood | null | null | jackoyoungblood/speecht5_finetuned_voxpopuli_nl2 | 0 | 2 | transformers | 2023-10-03T14:58:35 | ---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
- text-to-speech
datasets:
- voxpopuli
model-index:
- name: speecht5_finetuned_voxpopuli_nl2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should prob... | 1,618 | [
[
-0.0299072265625,
-0.04058837890625,
-0.00339508056640625,
0.007251739501953125,
-0.0203704833984375,
-0.023681640625,
-0.01324462890625,
-0.01137542724609375,
-0.0115203857421875,
0.020416259765625,
-0.048828125,
-0.047210693359375,
-0.043121337890625,
-0.0... |
LoneStriker/Mistral-7B-OpenOrca-3.0bpw-h6-exl2 | 2023-10-03T16:22:30.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"en",
"dataset:Open-Orca/OpenOrca",
"arxiv:2306.02707",
"arxiv:2301.13688",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/Mistral-7B-OpenOrca-3.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-03T15:24:32 | ---
datasets:
- Open-Orca/OpenOrca
language:
- en
library_name: transformers
pipeline_tag: text-generation
license: apache-2.0
---
<p><h1>🐋 Mistral-7B-OpenOrca 🐋</h1></p>
[<img src="htt... | 7,296 | [
[
-0.03765869140625,
-0.060028076171875,
0.0055084228515625,
0.0063323974609375,
-0.0119171142578125,
-0.01424407958984375,
-0.01291656494140625,
-0.059478759765625,
0.01105499267578125,
0.0138397216796875,
-0.0321044921875,
-0.045379638671875,
-0.030975341796875,... |
LoneStriker/Mistral-7B-OpenOrca-4.0bpw-h6-exl2 | 2023-10-03T15:34:57.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"en",
"dataset:Open-Orca/OpenOrca",
"arxiv:2306.02707",
"arxiv:2301.13688",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/Mistral-7B-OpenOrca-4.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-03T15:24:39 | ---
datasets:
- Open-Orca/OpenOrca
language:
- en
library_name: transformers
pipeline_tag: text-generation
license: apache-2.0
---
<p><h1>🐋 Mistral-7B-OpenOrca 🐋</h1></p>
[<img src="htt... | 7,296 | [
[
-0.03765869140625,
-0.060028076171875,
0.00548553466796875,
0.0063323974609375,
-0.0119171142578125,
-0.01424407958984375,
-0.0129241943359375,
-0.059478759765625,
0.01105499267578125,
0.01384735107421875,
-0.032073974609375,
-0.045379638671875,
-0.0309753417968... |
LoneStriker/Mistral-7B-OpenOrca-6.0bpw-h6-exl2 | 2023-10-03T16:02:29.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"en",
"dataset:Open-Orca/OpenOrca",
"arxiv:2306.02707",
"arxiv:2301.13688",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/Mistral-7B-OpenOrca-6.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-03T15:24:52 | ---
datasets:
- Open-Orca/OpenOrca
language:
- en
library_name: transformers
pipeline_tag: text-generation
license: apache-2.0
---
<p><h1>🐋 Mistral-7B-OpenOrca 🐋</h1></p>
[<img src="htt... | 7,296 | [
[
-0.03765869140625,
-0.060028076171875,
0.0055084228515625,
0.0063323974609375,
-0.0119171142578125,
-0.01424407958984375,
-0.01291656494140625,
-0.059478759765625,
0.01105499267578125,
0.0138397216796875,
-0.0321044921875,
-0.045379638671875,
-0.030975341796875,... |
Trelis/TinyLlama-1.1B-Chat-v0.3-AWQ | 2023-10-03T15:40:25.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"awq",
"tinyllama",
"en",
"dataset:cerebras/SlimPajama-627B",
"dataset:bigcode/starcoderdata",
"dataset:OpenAssistant/oasst_top1_2023-08-25",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Trelis | null | null | Trelis/TinyLlama-1.1B-Chat-v0.3-AWQ | 0 | 2 | transformers | 2023-10-03T15:26:36 | ---
license: apache-2.0
datasets:
- cerebras/SlimPajama-627B
- bigcode/starcoderdata
- OpenAssistant/oasst_top1_2023-08-25
language:
- en
tags:
- awq
- tinyllama
---
# AWQ version of TinyLlama at 1Trillion tokens
original model card follows below.
# TinyLlama-1.1B
</div>
https://github.com/jzhang38/TinyLlama
The Ti... | 2,134 | [
[
-0.018524169921875,
-0.055755615234375,
0.0211639404296875,
0.01030731201171875,
-0.0263671875,
-0.00963592529296875,
-0.0115509033203125,
-0.0166168212890625,
0.0156707763671875,
0.0259246826171875,
-0.0513916015625,
-0.0355224609375,
-0.027099609375,
-0.01... |
stevanojs/pokemon_classification | 2023-10-03T18:58:26.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | stevanojs | null | null | stevanojs/pokemon_classification | 0 | 2 | transformers | 2023-10-03T16:46:35 | ---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: pokemon_classification
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofr... | 1,848 | [
[
-0.0237884521484375,
-0.036773681640625,
0.008697509765625,
0.005207061767578125,
-0.0206756591796875,
-0.0242156982421875,
-0.0070953369140625,
-0.0146636962890625,
0.02850341796875,
0.020751953125,
-0.046630859375,
-0.04833984375,
-0.054412841796875,
-0.00... |
msullivan/3AOjQqYT | 2023-10-03T17:38:32.000Z | [
"sentence-transformers",
"pytorch",
"roberta",
"setfit",
"text-classification",
"arxiv:2209.11055",
"license:apache-2.0",
"region:us"
] | text-classification | msullivan | null | null | msullivan/3AOjQqYT | 0 | 2 | sentence-transformers | 2023-10-03T17:07:09 | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# /var/folders/7p/tw5y4fds72sbvl9tm_4gyl_w0000gn/T/tmp0wedhv75/msullivan/3AOjQqYT
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The mod... | 1,647 | [
[
-0.004116058349609375,
-0.0631103515625,
0.027862548828125,
-0.0089569091796875,
-0.004573822021484375,
-0.018646240234375,
-0.01666259765625,
-0.006473541259765625,
-0.006397247314453125,
0.0350341796875,
-0.045745849609375,
-0.019927978515625,
-0.0419921875,
... |
bdpc/resnet101-base_tobacco-cnn_tobacco3482_kd_CEKD_t5.0_a0.9 | 2023-10-03T21:10:35.000Z | [
"transformers",
"pytorch",
"resnet",
"image-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | bdpc | null | null | bdpc/resnet101-base_tobacco-cnn_tobacco3482_kd_CEKD_t5.0_a0.9 | 0 | 2 | transformers | 2023-10-03T20:32:42 | ---
license: apache-2.0
base_model: microsoft/resnet-50
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: resnet101-base_tobacco-cnn_tobacco3482_kd_CEKD_t5.0_a0.9
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
sh... | 7,838 | [
[
-0.03631591796875,
-0.032501220703125,
0.0126800537109375,
0.005084991455078125,
-0.004302978515625,
0.00539398193359375,
0.00917816162109375,
-0.005390167236328125,
0.061492919921875,
0.0228271484375,
-0.03277587890625,
-0.049163818359375,
-0.048095703125,
... |
LoneStriker/airoboros-mistral2.2-7b-5.0bpw-h6-exl2 | 2023-10-03T21:47:53.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"llama-2",
"instruct",
"finetune",
"alpaca",
"gpt4",
"synthetic data",
"distillation",
"en",
"dataset:jondurbin/airoboros-2.2.1",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/airoboros-mistral2.2-7b-5.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-03T20:34:52 | ---
base_model: mistralai/Mistral-7b-V0.1
tags:
- llama-2
- instruct
- finetune
- alpaca
- gpt4
- synthetic data
- distillation
datasets:
- jondurbin/airoboros-2.2.1
model-index:
- name: airoboros2.2-mistral-7b
results: []
license: mit
language:
- en
---
Mistral trained with the airoboros dataset!
![image/png](http... | 1,104 | [
[
-0.01523590087890625,
-0.0199737548828125,
-0.00730133056640625,
0.02069091796875,
-0.0296630859375,
-0.01776123046875,
0.0071563720703125,
-0.0188140869140625,
0.003902435302734375,
0.0322265625,
-0.04583740234375,
-0.0157318115234375,
-0.04876708984375,
-0... |
LoneStriker/airoboros-mistral2.2-7b-6.0bpw-h6-exl2 | 2023-10-03T22:02:52.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"llama-2",
"instruct",
"finetune",
"alpaca",
"gpt4",
"synthetic data",
"distillation",
"en",
"dataset:jondurbin/airoboros-2.2.1",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/airoboros-mistral2.2-7b-6.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-03T20:34:58 | ---
base_model: mistralai/Mistral-7b-V0.1
tags:
- llama-2
- instruct
- finetune
- alpaca
- gpt4
- synthetic data
- distillation
datasets:
- jondurbin/airoboros-2.2.1
model-index:
- name: airoboros2.2-mistral-7b
results: []
license: mit
language:
- en
---
Mistral trained with the airoboros dataset!
![image/png](http... | 1,104 | [
[
-0.01520538330078125,
-0.0199432373046875,
-0.007289886474609375,
0.02069091796875,
-0.0296630859375,
-0.0177764892578125,
0.007137298583984375,
-0.018798828125,
0.003902435302734375,
0.0322265625,
-0.04583740234375,
-0.0157623291015625,
-0.04876708984375,
-... |
LoneStriker/airoboros-mistral2.2-7b-8.0bpw-h6-exl2 | 2023-10-03T22:20:40.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"llama-2",
"instruct",
"finetune",
"alpaca",
"gpt4",
"synthetic data",
"distillation",
"en",
"dataset:jondurbin/airoboros-2.2.1",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LoneStriker | null | null | LoneStriker/airoboros-mistral2.2-7b-8.0bpw-h6-exl2 | 0 | 2 | transformers | 2023-10-03T20:35:02 | ---
base_model: mistralai/Mistral-7b-V0.1
tags:
- llama-2
- instruct
- finetune
- alpaca
- gpt4
- synthetic data
- distillation
datasets:
- jondurbin/airoboros-2.2.1
model-index:
- name: airoboros2.2-mistral-7b
results: []
license: mit
language:
- en
---
Mistral trained with the airoboros dataset!
![image/png](http... | 1,104 | [
[
-0.01523590087890625,
-0.0199737548828125,
-0.00730133056640625,
0.02069091796875,
-0.0296630859375,
-0.01776123046875,
0.0071563720703125,
-0.0188140869140625,
0.003902435302734375,
0.0322265625,
-0.04583740234375,
-0.0157318115234375,
-0.04876708984375,
-0... |
domainExpert/ppo-LunarLander-v2 | 2023-10-04T06:29:09.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | domainExpert | null | null | domainExpert/ppo-LunarLander-v2 | 0 | 2 | stable-baselines3 | 2023-10-04T06:28:43 | ---
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 | [
[
-0.00021386146545410156,
-0.027130126953125,
0.0170745849609375,
0.023345947265625,
-0.0060577392578125,
0.00275421142578125,
0.034454345703125,
-0.012115478515625,
0.0198516845703125,
0.06500244140625,
-0.04315185546875,
-0.03521728515625,
-0.0343017578125,
... |
Tommert25/robbert0410_lrate7.5b4 | 2023-10-04T07:29:58.000Z | [
"transformers",
"pytorch",
"roberta",
"token-classification",
"generated_from_trainer",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | Tommert25 | null | null | Tommert25/robbert0410_lrate7.5b4 | 0 | 2 | transformers | 2023-10-04T07:21:13 | ---
license: mit
base_model: pdelobelle/robbert-v2-dutch-base
tags:
- generated_from_trainer
metrics:
- recall
- accuracy
model-index:
- name: robbert0410_lrate7.5b4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proof... | 2,247 | [
[
-0.036590576171875,
-0.038238525390625,
0.00705718994140625,
0.01580810546875,
-0.0186920166015625,
-0.018798828125,
0.0036334991455078125,
-0.02056884765625,
0.0277862548828125,
0.0280914306640625,
-0.04669189453125,
-0.042144775390625,
-0.053131103515625,
... |
Tommert25/robbert0410_lrate7.5b8 | 2023-10-04T07:40:24.000Z | [
"transformers",
"pytorch",
"roberta",
"token-classification",
"generated_from_trainer",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | Tommert25 | null | null | Tommert25/robbert0410_lrate7.5b8 | 0 | 2 | transformers | 2023-10-04T07:33:10 | ---
license: mit
base_model: pdelobelle/robbert-v2-dutch-base
tags:
- generated_from_trainer
metrics:
- recall
- accuracy
model-index:
- name: robbert0410_lrate7.5b8
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proof... | 2,247 | [
[
-0.0343017578125,
-0.039306640625,
0.007030487060546875,
0.014007568359375,
-0.0184326171875,
-0.0167083740234375,
0.0035648345947265625,
-0.0213623046875,
0.0280914306640625,
0.0269775390625,
-0.045654296875,
-0.042816162109375,
-0.05352783203125,
-0.014785... |
Tommert25/robbert0410_lrate7.5b32 | 2023-10-04T08:24:17.000Z | [
"transformers",
"pytorch",
"roberta",
"token-classification",
"generated_from_trainer",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | Tommert25 | null | null | Tommert25/robbert0410_lrate7.5b32 | 0 | 2 | transformers | 2023-10-04T07:52:08 | ---
license: mit
base_model: pdelobelle/robbert-v2-dutch-base
tags:
- generated_from_trainer
metrics:
- recall
- accuracy
model-index:
- name: robbert0410_lrate7.5b32
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proo... | 2,251 | [
[
-0.03765869140625,
-0.03973388671875,
0.0052032470703125,
0.01580810546875,
-0.0184173583984375,
-0.0159149169921875,
0.003612518310546875,
-0.0202789306640625,
0.028961181640625,
0.0271759033203125,
-0.046356201171875,
-0.042999267578125,
-0.0537109375,
-0.... |
navradio/swin-tiny-patch4-window7-224-PE | 2023-10-04T12:10:21.000Z | [
"transformers",
"pytorch",
"swin",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | navradio | null | null | navradio/swin-tiny-patch4-window7-224-PE | 0 | 2 | transformers | 2023-10-04T08:05:57 | ---
license: apache-2.0
base_model: microsoft/swin-tiny-patch4-window7-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: swin-tiny-patch4-window7-224-PE
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: image... | 4,897 | [
[
-0.04376220703125,
-0.03997802734375,
0.00867462158203125,
0.0031070709228515625,
0.0019073486328125,
0.0032901763916015625,
-0.000308990478515625,
-0.0005064010620117188,
0.043182373046875,
0.0167694091796875,
-0.046844482421875,
-0.045257568359375,
-0.03878784... |
Quacktab/ppo-SnowballTarget | 2023-10-04T08:44:37.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
] | reinforcement-learning | Quacktab | null | null | Quacktab/ppo-SnowballTarget | 0 | 2 | ml-agents | 2023-10-04T08:44:34 | ---
library_name: ml-agents
tags:
- SnowballTarget
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Te... | 1,363 | [
[
-0.0306243896484375,
-0.039825439453125,
0.00930023193359375,
0.00643157958984375,
-0.0216522216796875,
0.024139404296875,
0.0141448974609375,
-0.01611328125,
0.025665283203125,
0.032562255859375,
-0.05401611328125,
-0.054412841796875,
-0.0357666015625,
-0.0... |
Quacktab/Pyramids | 2023-10-04T08:47:35.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | Quacktab | null | null | Quacktab/Pyramids | 0 | 2 | ml-agents | 2023-10-04T08:47:32 | ---
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).
... | 1,329 | [
[
-0.0408935546875,
-0.034576416015625,
0.0020656585693359375,
0.01470184326171875,
-0.01007080078125,
0.013336181640625,
0.0173187255859375,
-0.015777587890625,
0.032745361328125,
0.029541015625,
-0.039703369140625,
-0.050628662109375,
-0.02911376953125,
-0.0... |
rezaFarsh/finetuning-sentiment-model-1900-samples-6-labels | 2023-10-04T10:02:09.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | rezaFarsh | null | null | rezaFarsh/finetuning-sentiment-model-1900-samples-6-labels | 0 | 2 | transformers | 2023-10-04T09:43:47 | ---
license: apache-2.0
base_model: bert-base-multilingual-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finetuning-sentiment-model-1900-samples-6-labels
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You... | 1,288 | [
[
-0.048828125,
-0.0445556640625,
0.0115814208984375,
0.02783203125,
-0.040863037109375,
-0.0271453857421875,
-0.035552978515625,
-0.01348114013671875,
0.01450347900390625,
0.0184173583984375,
-0.0543212890625,
-0.060546875,
-0.04901123046875,
-0.0064315795898... |
Tommert25/robbert0410_lrate10b16 | 2023-10-04T11:39:00.000Z | [
"transformers",
"pytorch",
"roberta",
"token-classification",
"generated_from_trainer",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | Tommert25 | null | null | Tommert25/robbert0410_lrate10b16 | 0 | 2 | transformers | 2023-10-04T09:57:19 | ---
license: mit
base_model: pdelobelle/robbert-v2-dutch-base
tags:
- generated_from_trainer
metrics:
- recall
- accuracy
model-index:
- name: robbert0410_lrate10b16
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proof... | 2,248 | [
[
-0.0350341796875,
-0.0386962890625,
0.00811004638671875,
0.01470184326171875,
-0.0193939208984375,
-0.0186614990234375,
0.0029544830322265625,
-0.0227203369140625,
0.026092529296875,
0.027191162109375,
-0.0477294921875,
-0.0430908203125,
-0.053436279296875,
... |
cris177/llama-2-7b-Arguments | 2023-10-05T19:35:00.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | cris177 | null | null | cris177/llama-2-7b-Arguments | 1 | 2 | transformers | 2023-10-04T11:39:14 | This model aims to detect and analyze casual arguments.
Model template:
```
<s>[INST] {prompt}
[/INST]
```
Example:
```
`<`s`>`[INST] Analize the following argument, identifying premises, conclusion, type of argument, and argument validity:
If officer smith found a broken window at the crime scene then the arson oc... | 826 | [
[
0.00286865234375,
-0.084716796875,
0.06451416015625,
-0.01018524169921875,
-0.037811279296875,
-0.0284271240234375,
-0.002124786376953125,
0.01111602783203125,
-0.007404327392578125,
0.0183258056640625,
-0.0280609130859375,
-0.050506591796875,
-0.017959594726562... |
athirdpath/MistRP-Dolphin-7B-AWQ | 2023-10-04T18:50:42.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"not-for-all-audiences",
"nsfw",
"text-generation-inference",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | text-generation | athirdpath | null | null | athirdpath/MistRP-Dolphin-7B-AWQ | 0 | 2 | transformers | 2023-10-04T11:40:46 | ---
license: cc-by-nc-4.0
tags:
- not-for-all-audiences
- mistral
- nsfw
- text-generation-inference
---
Testing purposes only
AWQ quant of Undi95/MistRP-Dolphin-7B
4bit, 128GS, wikitext | 188 | [
[
-0.04315185546875,
-0.0138092041015625,
0.00922393798828125,
0.036346435546875,
-0.044158935546875,
-0.028167724609375,
0.041900634765625,
-0.0198974609375,
0.006511688232421875,
0.054473876953125,
-0.031707763671875,
0.0045623779296875,
-0.0120697021484375,
... |
wooii/a2c-PandaReachDense-v3 | 2023-10-04T21:25:22.000Z | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | wooii | null | null | wooii/a2c-PandaReachDense-v3 | 0 | 2 | stable-baselines3 | 2023-10-04T12:17:08 | ---
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,
-0.046966552734375,
-0.001811981201171875,
0.0477294921875,
0.0019321441650390625,
-0.0059051513671875,
0.034088134765625,
-0.0240325927734375,
0.02874755859375,
0.043853759765625,
-0.061187744140625,
-0.03411865234375,
-0.0300140380859375,
... |
TheBloke/Dans-TotSirocco-7B-GGUF | 2023-10-04T12:49:37.000Z | [
"transformers",
"mistral",
"en",
"text-generation-inference",
"region:us"
] | null | TheBloke | null | null | TheBloke/Dans-TotSirocco-7B-GGUF | 0 | 2 | transformers | 2023-10-04T12:42:06 | ---
base_model: PocketDoc/Dans-TotSirocco-7b
inference: false
language:
- en
model_creator: PocketDoc Labs
model_name: Dans TotSirocco 7B
model_type: mistral
prompt_template: '<|system|>{system_message}<|user|>{prompt}<|model|>
'
quantized_by: TheBloke
---
<!-- header start -->
<!-- 200823 -->
<div style="width: au... | 22,501 | [
[
-0.047149658203125,
-0.043487548828125,
0.0250396728515625,
0.0291290283203125,
-0.031890869140625,
-0.01255035400390625,
-0.008636474609375,
-0.044281005859375,
0.03997802734375,
0.015777587890625,
-0.05877685546875,
-0.048126220703125,
-0.037322998046875,
... |
zongxiao/speecht5_finetuned_zh-TW | 2023-10-04T16:15:41.000Z | [
"transformers",
"pytorch",
"speecht5",
"text-to-audio",
"generated_from_trainer",
"dataset:common_voice_13_0",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-to-audio | zongxiao | null | null | zongxiao/speecht5_finetuned_zh-TW | 0 | 2 | transformers | 2023-10-04T13:46:23 | ---
license: mit
base_model: GCYY/speecht5_finetuned_fleurs_zh
tags:
- generated_from_trainer
datasets:
- common_voice_13_0
model-index:
- name: speecht5_finetuned_zh-TW
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably p... | 1,629 | [
[
-0.038116455078125,
-0.0382080078125,
0.00203704833984375,
0.0122222900390625,
-0.025787353515625,
-0.032623291015625,
-0.0182342529296875,
-0.01763916015625,
0.006015777587890625,
0.03143310546875,
-0.0626220703125,
-0.04547119140625,
-0.04547119140625,
-0.... |
Siddharth63/bioul2_small | 2023-11-01T09:57:16.000Z | [
"transformers",
"pytorch",
"jax",
"t5",
"text2text-generation",
"dataset:Siddharth63/biological_dataset",
"arxiv:1910.10683",
"license:artistic-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | Siddharth63 | null | null | Siddharth63/bioul2_small | 0 | 2 | transformers | 2023-10-04T13:56:14 | ---
license: artistic-2.0
datasets:
- Siddharth63/biological_dataset
---
# Bioul2-small
Pretrained T5 model on Biological dataset using a UL2 (Mixture-of-Denoisers) objective. T5 model was introduced in this paper and first released at this page. The UL2 objective was introduced in [this paper](https://arxiv.org/abs/... | 4,574 | [
[
-0.027496337890625,
-0.04248046875,
0.02044677734375,
0.010101318359375,
-0.0298309326171875,
0.0061492919921875,
-0.0179595947265625,
-0.044281005859375,
-0.0164031982421875,
0.026214599609375,
-0.042572021484375,
-0.0472412109375,
-0.05426025390625,
0.0236... |
Kishore05/trial | 2023-10-29T15:26:49.000Z | [
"transformers",
"tf",
"gpt2",
"text-generation",
"generated_from_keras_callback",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Kishore05 | null | null | Kishore05/trial | 0 | 2 | transformers | 2023-10-04T15:22:32 | ---
license: mit
base_model: gpt2
tags:
- generated_from_keras_callback
model-index:
- name: trial
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. -->
# trial
This model ... | 1,780 | [
[
-0.035247802734375,
-0.036895751953125,
0.0272216796875,
0.006160736083984375,
-0.0308380126953125,
-0.026702880859375,
-0.01329803466796875,
-0.01495361328125,
-0.0030841827392578125,
0.0036106109619140625,
-0.051239013671875,
-0.04217529296875,
-0.060028076171... |
sophiaaaa/flan-t5-base-finetuned-smcp | 2023-10-19T12:29:17.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | sophiaaaa | null | null | sophiaaaa/flan-t5-base-finetuned-smcp | 0 | 2 | transformers | 2023-10-04T15:28:28 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: flan-t5-base-finetuned-smcp
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. -->
# flan-t5... | 1,029 | [
[
-0.0360107421875,
-0.033599853515625,
0.01027679443359375,
0.004009246826171875,
-0.0291595458984375,
-0.02734375,
-0.0121002197265625,
-0.01824951171875,
0.0129852294921875,
0.03131103515625,
-0.05364990234375,
-0.0281524658203125,
-0.0526123046875,
-0.0016... |
toobiza/table-transformer-fancy-plant-45 | 2023-10-04T17:33:55.000Z | [
"transformers",
"pytorch",
"table-transformer",
"object-detection",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | object-detection | toobiza | null | null | toobiza/table-transformer-fancy-plant-45 | 0 | 2 | transformers | 2023-10-04T17:07:54 | ---
license: mit
base_model: microsoft/table-transformer-detection
tags:
- generated_from_trainer
model-index:
- name: table-transformer-fancy-plant-45
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and compl... | 1,312 | [
[
-0.036590576171875,
-0.03521728515625,
0.016693115234375,
0.01108551025390625,
-0.023834228515625,
-0.03131103515625,
-0.0010089874267578125,
-0.01708984375,
0.002689361572265625,
0.017486572265625,
-0.04833984375,
-0.037506103515625,
-0.041168212890625,
-0.... |
calcifer2023/distilbert-base-uncased-finetuned-sentiment | 2023-10-04T17:42:40.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | calcifer2023 | null | null | calcifer2023/distilbert-base-uncased-finetuned-sentiment | 0 | 2 | transformers | 2023-10-04T17:42:00 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-sentiment
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should... | 1,524 | [
[
-0.03912353515625,
-0.045654296875,
0.0176849365234375,
0.0226287841796875,
-0.031829833984375,
-0.0199127197265625,
-0.01406097412109375,
-0.00437164306640625,
0.0048370361328125,
0.0181121826171875,
-0.05206298828125,
-0.050445556640625,
-0.058013916015625,
... |
DaColdest/ppo-lunarlander-v2 | 2023-10-04T17:46:52.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | DaColdest | null | null | DaColdest/ppo-lunarlander-v2 | 0 | 2 | stable-baselines3 | 2023-10-04T17:46:33 | ---
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 | [
[
-0.0002048015594482422,
-0.027130126953125,
0.01708984375,
0.0233306884765625,
-0.006069183349609375,
0.0027751922607421875,
0.034454345703125,
-0.01210784912109375,
0.0199127197265625,
0.06500244140625,
-0.04315185546875,
-0.035247802734375,
-0.0343017578125,
... |
palmer0/finetuning-sentiment-model-3000-samples | 2023-10-04T19:22:32.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:imdb",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | palmer0 | null | null | palmer0/finetuning-sentiment-model-3000-samples | 0 | 2 | transformers | 2023-10-04T18:49:46 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
config: plain_text
... | 1,564 | [
[
-0.051544189453125,
-0.044525146484375,
0.01288604736328125,
0.017333984375,
-0.03985595703125,
-0.0139312744140625,
-0.0174713134765625,
0.006916046142578125,
0.01739501953125,
0.019622802734375,
-0.0611572265625,
-0.049957275390625,
-0.06317138671875,
-0.0... |
dima806/ball_types_image_detection | 2023-10-04T19:47:23.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | dima806 | null | null | dima806/ball_types_image_detection | 0 | 2 | transformers | 2023-10-04T19:44:59 | ---
license: apache-2.0
metrics:
- accuracy
- f1
---
See https://www.kaggle.com/code/dima806/ball-types-image-detection for more details. | 137 | [
[
-0.0382080078125,
-0.05322265625,
0.01934814453125,
0.019317626953125,
-0.03082275390625,
-0.0089569091796875,
0.0180511474609375,
-0.047210693359375,
0.0228729248046875,
0.0240020751953125,
-0.03271484375,
-0.043243408203125,
-0.037872314453125,
-0.00960540... |
Weyaxi/OpenOrca-Nebula-7B | 2023-10-05T12:51:02.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"en",
"dataset:garage-bAInd/Open-Platypus",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Weyaxi | null | null | Weyaxi/OpenOrca-Nebula-7B | 0 | 2 | transformers | 2023-10-04T20:34:55 | ---
license: cc-by-nc-4.0
datasets:
- garage-bAInd/Open-Platypus
language:
- en
---
<a href="https://www.buymeacoffee.com/PulsarAI" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 60px !important;width: 217px !important;" ></a>
# OpenOrca-Nebul... | 876 | [
[
-0.037261962890625,
-0.034210205078125,
0.026519775390625,
0.015289306640625,
-0.033477783203125,
-0.0021877288818359375,
-0.0038623809814453125,
-0.049774169921875,
0.0765380859375,
0.01238250732421875,
-0.0364990234375,
-0.040283203125,
-0.04766845703125,
... |
GreenBitAI/LLaMA-2-70B-CHAT-2bit-groupsize8 | 2023-10-05T08:24:05.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | GreenBitAI | null | null | GreenBitAI/LLaMA-2-70B-CHAT-2bit-groupsize8 | 1 | 2 | transformers | 2023-10-04T21:05:07 | ---
license: apache-2.0
---
# GreenBit LLaMA
This is GreenBitAI's pretrained **2-bit** LLaMA model with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/low_bit_llama) for the code to run the model and more information.
## Model Description
- **Develo... | 613 | [
[
-0.0022525787353515625,
-0.05450439453125,
0.035308837890625,
0.03857421875,
-0.06134033203125,
0.0036678314208984375,
0.01055908203125,
-0.05743408203125,
0.02362060546875,
0.02044677734375,
-0.049468994140625,
-0.0246429443359375,
-0.05877685546875,
-0.013... |
stecas/gpt2pac | 2023-10-04T22:24:00.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"generated_from_trainer",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | stecas | null | null | stecas/gpt2pac | 0 | 2 | transformers | 2023-10-04T21:38:10 | ---
tags:
- generated_from_trainer
model-index:
- name: gpt2pac
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. -->
# gpt2pac
This model was created by finetuning [... | 1,179 | [
[
-0.04345703125,
-0.0535888671875,
0.022491455078125,
0.01611328125,
-0.03326416015625,
-0.01678466796875,
-0.002655029296875,
-0.0307464599609375,
0.007427215576171875,
0.046844482421875,
-0.052703857421875,
-0.03173828125,
-0.06903076171875,
-0.007972717285... |
Charlie911/vicuna-7b-v1.5-lora-time-unit | 2023-10-07T07:07:54.000Z | [
"peft",
"region:us"
] | null | Charlie911 | null | null | Charlie911/vicuna-7b-v1.5-lora-time-unit | 0 | 2 | peft | 2023-10-05T01:18:59 | ---
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... | 464 | [
[
-0.042572021484375,
-0.0545654296875,
0.032318115234375,
0.032989501953125,
-0.03973388671875,
0.00731658935546875,
0.0107879638671875,
-0.01284027099609375,
-0.011993408203125,
0.030914306640625,
-0.040130615234375,
-0.009002685546875,
-0.034423828125,
0.00... |
hope04302/kr-bert-bi-s | 2023-10-05T01:55:28.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"ko",
"arxiv:2008.03979",
"endpoints_compatible",
"region:us"
] | null | hope04302 | null | null | hope04302/kr-bert-bi-s | 0 | 2 | transformers | 2023-10-05T01:34:44 | ---
language:
- ko
---
## KoRean based Bert pre-trained (KR-BERT)
This is a release of Korean-specific, small-scale BERT models with comparable or better performances developed by Computational Linguistics Lab at Seoul National University, referenced in [KR-BERT: A Small-Scale Korean-Specific Language Model](https:/... | 9,108 | [
[
-0.0421142578125,
-0.04815673828125,
0.01079559326171875,
0.0010786056518554688,
-0.035919189453125,
0.0019969940185546875,
-0.0134429931640625,
-0.0211181640625,
0.038330078125,
0.027801513671875,
-0.05352783203125,
-0.04071044921875,
-0.048370361328125,
0.... |
Jopaky/clip-roberta-finetuned | 2023-10-31T09:30:55.000Z | [
"transformers",
"pytorch",
"vision-text-dual-encoder",
"feature-extraction",
"generated_from_trainer",
"dataset:ydshieh/coco_dataset_script",
"endpoints_compatible",
"region:us"
] | feature-extraction | Jopaky | null | null | Jopaky/clip-roberta-finetuned | 0 | 2 | transformers | 2023-10-05T03:07:50 | ---
base_model: ./clip-roberta
tags:
- generated_from_trainer
datasets:
- ydshieh/coco_dataset_script
model-index:
- name: clip-roberta-finetuned
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it... | 1,187 | [
[
-0.03143310546875,
-0.052337646484375,
0.01041412353515625,
0.0116424560546875,
-0.0345458984375,
-0.0250701904296875,
-0.0225067138671875,
-0.020111083984375,
0.01399993896484375,
0.0293731689453125,
-0.05682373046875,
-0.043304443359375,
-0.050506591796875,
... |
tribber93/cite_classification_model | 2023-10-05T08:13:12.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:scicite",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | tribber93 | null | null | tribber93/cite_classification_model | 0 | 2 | transformers | 2023-10-05T06:04:45 | ---
license: apache-2.0
base_model: michiyasunaga/BioLinkBERT-large
tags:
- generated_from_trainer
datasets:
- scicite
metrics:
- accuracy
model-index:
- name: cite_classification_model
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: scicite
type: scic... | 2,147 | [
[
-0.02215576171875,
-0.0191192626953125,
0.0110931396484375,
0.006450653076171875,
-0.01456451416015625,
-0.0177001953125,
-0.0038547515869140625,
-0.019744873046875,
0.01824951171875,
0.01071929931640625,
-0.047454833984375,
-0.053253173828125,
-0.05239868164062... |
kavyamanohar/whisper-small-ml | 2023-11-03T07:24:23.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | kavyamanohar | null | null | kavyamanohar/whisper-small-ml | 1 | 2 | transformers | 2023-10-05T07:30:22 | ---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-ml
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... | 1,631 | [
[
-0.03314208984375,
-0.042999267578125,
0.0118408203125,
0.00328826904296875,
-0.0213470458984375,
-0.053070068359375,
-0.022064208984375,
-0.01611328125,
0.0152130126953125,
0.0213470458984375,
-0.05535888671875,
-0.042816162109375,
-0.045623779296875,
-0.01... |
miritto/PPO-LunarLander-v2 | 2023-10-05T07:52:43.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | miritto | null | null | miritto/PPO-LunarLander-v2 | 0 | 2 | stable-baselines3 | 2023-10-05T07:52:20 | ---
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 | [
[
-0.00020968914031982422,
-0.0271453857421875,
0.0170745849609375,
0.0233612060546875,
-0.006031036376953125,
0.002758026123046875,
0.034454345703125,
-0.0121307373046875,
0.0199127197265625,
0.06500244140625,
-0.043182373046875,
-0.035247802734375,
-0.0343017578... |
k0T0z/ppo-LunarLander-v2 | 2023-10-05T11:43:31.000Z | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | k0T0z | null | null | k0T0z/ppo-LunarLander-v2 | 0 | 2 | stable-baselines3 | 2023-10-05T11:43:11 | ---
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,
-... |
ledinhnguyen00/EmoraBert | 2023-10-11T17:20:39.000Z | [
"transformers",
"tf",
"roberta",
"text-classification",
"generated_from_keras_callback",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | ledinhnguyen00 | null | null | ledinhnguyen00/EmoraBert | 0 | 2 | transformers | 2023-10-05T12:05:55 | ---
license: mit
base_model: wonrax/phobert-base-vietnamese-sentiment
tags:
- generated_from_keras_callback
model-index:
- name: ledinhnguyen00/EmoraBert
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete ... | 1,794 | [
[
-0.037353515625,
-0.041900634765625,
0.02252197265625,
0.01334381103515625,
-0.0413818359375,
-0.0215301513671875,
-0.01537322998046875,
-0.00841522216796875,
0.010772705078125,
0.01009368896484375,
-0.04400634765625,
-0.05682373046875,
-0.057281494140625,
-... |
TanmaySah/l13b | 2023-10-17T19:17:04.000Z | [
"peft",
"region:us"
] | null | TanmaySah | null | null | TanmaySah/l13b | 0 | 2 | peft | 2023-10-05T14:03:54 | ---
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... | 4,743 | [
[
-0.05413818359375,
-0.038726806640625,
0.01247406005859375,
0.0125579833984375,
-0.049560546875,
-0.004154205322265625,
-0.01708984375,
-0.0214385986328125,
-0.015625,
0.00958251953125,
-0.04803466796875,
-0.025421142578125,
-0.027435302734375,
0.00658035278... |
JCTN/Mistral-7B-instruct-exl2 | 2023-10-05T16:29:47.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"finetuned",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | JCTN | null | null | JCTN/Mistral-7B-instruct-exl2 | 0 | 2 | transformers | 2023-10-05T16:07:07 | ---
license: apache-2.0
pipeline_tag: text-generation
tags:
- finetuned
---
https://huggingface.co/turboderp/Mistral-7B-instruct-exl2/tree/2.5bpw
# Model Card for Mistral-7B-Instruct-v0.1
The Mistral-7B-Instruct-v0.1 Large Language Model (LLM) is a instruct fine-tuned version of the [Mistral-7B-v0.1](https://huggingf... | 2,274 | [
[
-0.01763916015625,
-0.0631103515625,
0.0194244384765625,
0.0247650146484375,
-0.00714111328125,
-0.0274200439453125,
-0.00569915771484375,
-0.006519317626953125,
-0.0052337646484375,
0.036346435546875,
-0.043060302734375,
-0.045654296875,
-0.0396728515625,
0... |
scottstraley/masked-lm-tpu | 2023-10-05T17:56:36.000Z | [
"transformers",
"tf",
"roberta",
"fill-mask",
"generated_from_keras_callback",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | scottstraley | null | null | scottstraley/masked-lm-tpu | 0 | 2 | transformers | 2023-10-05T17:50:32 | ---
license: mit
base_model: roberta-base
tags:
- generated_from_keras_callback
model-index:
- name: scottstraley/masked-lm-tpu
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 comme... | 2,453 | [
[
-0.04095458984375,
-0.03851318359375,
0.02581787109375,
-0.0012521743774414062,
-0.0236053466796875,
-0.007427215576171875,
-0.00974273681640625,
-0.014556884765625,
0.0279998779296875,
0.0191802978515625,
-0.0516357421875,
-0.052337646484375,
-0.061370849609375... |
robertotraba/my_awesome_model | 2023-10-08T18:50:53.000Z | [
"transformers",
"tf",
"distilbert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | robertotraba | null | null | robertotraba/my_awesome_model | 0 | 2 | transformers | 2023-10-05T18:25:12 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: robertotraba/my_awesome_model
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, t... | 1,938 | [
[
-0.046478271484375,
-0.042816162109375,
0.024627685546875,
0.005558013916015625,
-0.02679443359375,
-0.018463134765625,
-0.005767822265625,
-0.0181732177734375,
0.0125732421875,
0.0042266845703125,
-0.045989990234375,
-0.05010986328125,
-0.054931640625,
-0.0... |
tonyla25/finetuning-sentiment-model-3000-samples | 2023-10-07T02:22:25.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:imdb",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | tonyla25 | null | null | tonyla25/finetuning-sentiment-model-3000-samples | 0 | 2 | transformers | 2023-10-05T18:56:41 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type:... | 1,578 | [
[
-0.051239013671875,
-0.043792724609375,
0.0134429931640625,
0.0166168212890625,
-0.04052734375,
-0.0145721435546875,
-0.0169677734375,
0.006755828857421875,
0.0166015625,
0.0200958251953125,
-0.061004638671875,
-0.0496826171875,
-0.06365966796875,
-0.0033607... |
nenopecas/my_awesome_opus_books_model | 2023-10-06T23:34:34.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | nenopecas | null | null | nenopecas/my_awesome_opus_books_model | 0 | 2 | transformers | 2023-10-05T19:08:42 | ---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: my_awesome_opus_books_model
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... | 2,041 | [
[
-0.036407470703125,
-0.031036376953125,
0.01464080810546875,
0.00446319580078125,
-0.0171661376953125,
-0.032806396484375,
-0.00521087646484375,
-0.012939453125,
0.01076507568359375,
0.023468017578125,
-0.053924560546875,
-0.04998779296875,
-0.043426513671875,
... |
praneethvasarla/bert-finetuned-conll-ner | 2023-10-09T01:14:53.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"generated_from_trainer",
"dataset:conll2003",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | praneethvasarla | null | null | praneethvasarla/bert-finetuned-conll-ner | 1 | 2 | transformers | 2023-10-06T02:11:20 | ---
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-conll-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
... | 2,325 | [
[
-0.039031982421875,
-0.04620361328125,
0.0099639892578125,
0.01202392578125,
-0.02593994140625,
-0.03521728515625,
-0.0167999267578125,
-0.0184326171875,
0.0094146728515625,
0.02197265625,
-0.058624267578125,
-0.041595458984375,
-0.046905517578125,
-0.018096... |
eai6/whisper-tiny | 2023-10-06T09:20:47.000Z | [
"transformers",
"pytorch",
"whisper",
"automatic-speech-recognition",
"nyansapo_ai-asr-leaderboard",
"generated_from_trainer",
"en",
"dataset:NyansapoAI/azure-dataset",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | eai6 | null | null | eai6/whisper-tiny | 0 | 2 | transformers | 2023-10-06T03:28:19 | ---
language:
- en
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- nyansapo_ai-asr-leaderboard
- generated_from_trainer
datasets:
- NyansapoAI/azure-dataset
metrics:
- wer
model-index:
- name: whisper-base.en
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognit... | 2,025 | [
[
-0.0196990966796875,
-0.032989501953125,
0.0073394775390625,
0.00861358642578125,
-0.0213623046875,
-0.03631591796875,
-0.00873565673828125,
-0.0155487060546875,
0.01019287109375,
0.0184173583984375,
-0.05731201171875,
-0.042755126953125,
-0.045135498046875,
... |
abheek19/ppo-Huggy | 2023-10-06T04:24:08.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | reinforcement-learning | abheek19 | null | null | abheek19/ppo-Huggy | 0 | 2 | ml-agents | 2023-10-06T04:24:02 | ---
library_name: ml-agents
tags:
- Huggy
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (... | 1,318 | [
[
-0.042083740234375,
-0.04571533203125,
0.01708984375,
0.0034084320068359375,
-0.0157928466796875,
0.01605224609375,
0.0131072998046875,
-0.022735595703125,
0.041717529296875,
0.0341796875,
-0.0489501953125,
-0.045654296875,
-0.030609130859375,
-0.01747131347... |
clincolnoz/HateBERT-edos | 2023-10-19T09:09:01.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | clincolnoz | null | null | clincolnoz/HateBERT-edos | 0 | 2 | transformers | 2023-10-06T05:45:02 | ---
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: final-lr2e-5-bs16-fp16-2
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. -->
# final... | 4,291 | [
[
-0.04571533203125,
-0.0428466796875,
0.0125732421875,
0.01399993896484375,
-0.00399017333984375,
-0.0024471282958984375,
0.00795745849609375,
-0.02215576171875,
0.04107666015625,
0.01526641845703125,
-0.0313720703125,
-0.0400390625,
-0.054840087890625,
-0.00... |
daekeun-ml/KoSimCSE-supervised-roberta-large | 2023-10-06T13:17:28.000Z | [
"transformers",
"safetensors",
"feature-extraction",
"ko",
"license:mit",
"endpoints_compatible",
"region:us"
] | feature-extraction | daekeun-ml | null | null | daekeun-ml/KoSimCSE-supervised-roberta-large | 0 | 2 | transformers | 2023-10-06T07:58:54 | ---
license: mit
language:
- ko
pipeline_tag: feature-extraction
---
# KoSimCSE Training on Amazon SageMaker
## Usage
```python
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from transformers import AutoConfig, PretrainedConfig, PreTrainedModel
from transformers import ... | 7,190 | [
[
-0.03692626953125,
-0.03900146484375,
0.0302886962890625,
0.0157012939453125,
-0.0189361572265625,
-0.0169525146484375,
-0.022705078125,
-0.011688232421875,
0.0269012451171875,
0.02191162109375,
-0.0531005859375,
-0.055938720703125,
-0.04681396484375,
0.0042... |
RogerB/xlm-roberta-base-finetuned-kinyarwanda-kin-finetuned | 2023-10-06T10:08:06.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"fill-mask",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | RogerB | null | null | RogerB/xlm-roberta-base-finetuned-kinyarwanda-kin-finetuned | 0 | 2 | transformers | 2023-10-06T08:18:54 | ---
base_model: Davlan/xlm-roberta-base-finetuned-kinyarwanda
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base-finetuned-kinyarwanda-kin-finetuned
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proo... | 1,469 | [
[
-0.033782958984375,
-0.04669189453125,
0.01290130615234375,
0.00881195068359375,
-0.026031494140625,
-0.0290679931640625,
-0.01163482666015625,
-0.0113983154296875,
0.007717132568359375,
0.03759765625,
-0.053131103515625,
-0.0450439453125,
-0.051605224609375,
... |
idrishaidar/Multilingual-MiniLM-L12-H384-en-id | 2023-10-06T09:35:17.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | sentence-similarity | idrishaidar | null | null | idrishaidar/Multilingual-MiniLM-L12-H384-en-id | 0 | 2 | sentence-transformers | 2023-10-06T09:33:27 | ---
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 384 dimensional dense vector space and can be used for tasks like cluste... | 3,673 | [
[
-0.0194091796875,
-0.059906005859375,
0.0210113525390625,
0.0238800048828125,
-0.0200653076171875,
-0.03204345703125,
-0.0182647705078125,
-0.00006139278411865234,
0.0162506103515625,
0.027008056640625,
-0.048736572265625,
-0.0457763671875,
-0.051300048828125,
... |
sksayril/gpt2-finetuned-wikitext2 | 2023-10-06T10:30:41.000Z | [
"transformers",
"tf",
"gpt2",
"text-generation",
"generated_from_keras_callback",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | sksayril | null | null | sksayril/gpt2-finetuned-wikitext2 | 0 | 2 | transformers | 2023-10-06T10:09:50 | ---
license: mit
base_model: gpt2
tags:
- generated_from_keras_callback
model-index:
- name: sksayril/gpt2-finetuned-wikitext2
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 commen... | 1,347 | [
[
-0.03485107421875,
-0.044647216796875,
0.0275421142578125,
0.0012845993041992188,
-0.040069580078125,
-0.0361328125,
-0.00992584228515625,
-0.019622802734375,
-0.00968170166015625,
0.01483154296875,
-0.049957275390625,
-0.0294952392578125,
-0.06268310546875,
... |
RogerB/xlm-roberta-base-finetuned-kinyarwanda-kin-finetuned-kin-tweets-finetuned | 2023-10-06T11:15:25.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"fill-mask",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | RogerB | null | null | RogerB/xlm-roberta-base-finetuned-kinyarwanda-kin-finetuned-kin-tweets-finetuned | 0 | 2 | transformers | 2023-10-06T10:41:40 | ---
base_model: RogerB/xlm-roberta-base-finetuned-kinyarwanda-kin-finetuned
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base-finetuned-kinyarwanda-kin-finetuned-kin-tweets-finetuned
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had ... | 1,604 | [
[
-0.037689208984375,
-0.04974365234375,
0.0156402587890625,
0.007663726806640625,
-0.02642822265625,
-0.0302276611328125,
-0.014923095703125,
-0.016571044921875,
0.00922393798828125,
0.036102294921875,
-0.055328369140625,
-0.04901123046875,
-0.053253173828125,
... |
mjsp/indian-sweet | 2023-10-06T12:21:20.000Z | [
"transformers",
"pytorch",
"tensorboard",
"vit",
"image-classification",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | mjsp | null | null | mjsp/indian-sweet | 0 | 2 | transformers | 2023-10-06T12:21:14 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: indian-sweet
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.695652186870575
---
# indian-sweet
Autogen... | 870 | [
[
-0.029144287109375,
-0.049346923828125,
-0.00423431396484375,
0.0604248046875,
-0.034393310546875,
0.01464080810546875,
-0.004688262939453125,
-0.022308349609375,
0.04827880859375,
0.01114654541015625,
-0.0212860107421875,
-0.0394287109375,
-0.051422119140625,
... |
minoosh/finetuned_roberta-base-on-IEMOCAP_2 | 2023-10-06T15:18:17.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | minoosh | null | null | minoosh/finetuned_roberta-base-on-IEMOCAP_2 | 0 | 2 | transformers | 2023-10-06T15:05:28 | ---
base_model: cardiffnlp/twitter-roberta-base-emotion
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finetuned_roberta-base-on-IEMOCAP_2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofre... | 2,309 | [
[
-0.039703369140625,
-0.03973388671875,
0.00868988037109375,
0.005863189697265625,
-0.01439666748046875,
-0.0198974609375,
-0.01139068603515625,
-0.0161590576171875,
0.0231781005859375,
0.0169525146484375,
-0.060028076171875,
-0.052215576171875,
-0.0545654296875,... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.